Triple
T9735561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Food, Inc. |
E236047
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Mark Adler
Mark Adler is an American film composer known for scoring documentaries and feature films, including the acclaimed documentary "Food, Inc."
|
E818637
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mark Adler | Statement: [Food, Inc., musicBy, Mark Adler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Adler Context triple: [Food, Inc., musicBy, Mark Adler]
-
A.
Phil Zimmermann
Phil Zimmermann is an American cryptographer best known as the creator of Pretty Good Privacy (PGP), a widely used email encryption software that helped popularize strong cryptography for the public.
-
B.
Bruce Perens
Bruce Perens is a prominent open-source advocate and co-founder of the Open Source Initiative, known for authoring the Debian Free Software Guidelines and the Open Source Definition.
-
C.
Oren Patashnik
Oren Patashnik is a computer scientist best known for coauthoring the influential textbook "Concrete Mathematics" and for creating the BibTeX reference management tool used with LaTeX.
-
D.
L. Peter Deutsch
L. Peter Deutsch is a computer scientist and software developer best known for creating the Ghostscript interpreter for the PostScript language and PDF files.
-
E.
David Finfer
David Finfer was an American film editor known for his work on a wide range of Hollywood movies across several decades.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mark Adler Triple: [Food, Inc., musicBy, Mark Adler]
Generated description
Mark Adler is an American film composer known for scoring documentaries and feature films, including the acclaimed documentary "Food, Inc."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Adler Target entity description: Mark Adler is an American film composer known for scoring documentaries and feature films, including the acclaimed documentary "Food, Inc."
-
A.
Phil Zimmermann
Phil Zimmermann is an American cryptographer best known as the creator of Pretty Good Privacy (PGP), a widely used email encryption software that helped popularize strong cryptography for the public.
-
B.
Bruce Perens
Bruce Perens is a prominent open-source advocate and co-founder of the Open Source Initiative, known for authoring the Debian Free Software Guidelines and the Open Source Definition.
-
C.
Oren Patashnik
Oren Patashnik is a computer scientist best known for coauthoring the influential textbook "Concrete Mathematics" and for creating the BibTeX reference management tool used with LaTeX.
-
D.
L. Peter Deutsch
L. Peter Deutsch is a computer scientist and software developer best known for creating the Ghostscript interpreter for the PostScript language and PDF files.
-
E.
David Finfer
David Finfer was an American film editor known for his work on a wide range of Hollywood movies across several decades.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eee70d48190af5a833d7b33aaa5 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afce9834819090949690b4ca8622 |
completed | April 5, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d1b098c3348190a298cfe4921c8921 |
completed | April 5, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b124659481909e7a2ecaf01d8a50 |
completed | April 5, 2026, 12:47 a.m. |
Created at: March 30, 2026, 8:22 p.m.