Triple
T13773945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Will |
E330951
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Andrew Doerfer
Andrew Doerfer is a film editor best known for his work on the movie "Iron Will."
|
E1142975
|
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: Andrew Doerfer | Statement: [Iron Will, editor, Andrew Doerfer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Doerfer Context triple: [Iron Will, editor, Andrew Doerfer]
-
A.
Frank Doelger
Frank Doelger is a television producer best known for his work on the acclaimed HBO fantasy series "Game of Thrones."
-
B.
Max Lindauer
Max Lindauer is an individual notable enough to be recognized as a prominent bearer of the surname Lindauer.
-
C.
Paul Biegler
Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
-
D.
Frank Teschemacher
Frank Teschemacher was an influential early Chicago jazz clarinetist and saxophonist known for his role in shaping the Chicago style of the 1920s and early 1930s.
-
E.
Andrew Ruhemann
Andrew Ruhemann is a British film producer and co-founder of the animation studio Passion Pictures, known for his work on acclaimed animated and live-action projects.
- 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: Andrew Doerfer Triple: [Iron Will, editor, Andrew Doerfer]
Generated description
Andrew Doerfer is a film editor best known for his work on the movie "Iron Will."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Doerfer Target entity description: Andrew Doerfer is a film editor best known for his work on the movie "Iron Will."
-
A.
Frank Doelger
Frank Doelger is a television producer best known for his work on the acclaimed HBO fantasy series "Game of Thrones."
-
B.
Max Lindauer
Max Lindauer is an individual notable enough to be recognized as a prominent bearer of the surname Lindauer.
-
C.
Paul Biegler
Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
-
D.
Frank Teschemacher
Frank Teschemacher was an influential early Chicago jazz clarinetist and saxophonist known for his role in shaping the Chicago style of the 1920s and early 1930s.
-
E.
Andrew Ruhemann
Andrew Ruhemann is a British film producer and co-founder of the animation studio Passion Pictures, known for his work on acclaimed animated and live-action projects.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de023774b48190b19e43e87b94ba77 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed314bb9481908144c5399aa62ffa |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed47c88d08190a4396b955c9bb388 |
completed | May 9, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed50956408190b1426d578803974e |
completed | May 9, 2026, 6:32 a.m. |
Created at: April 9, 2026, 10:10 p.m.