Triple
T2802158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Menken |
E53170
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | David Zippel |
E252694
|
NE FINISHED |
How this triple was built (2 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: David Zippel | Statement: [Alan Menken, collaboratedWith, David Zippel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Zippel Context triple: [Alan Menken, collaboratedWith, David Zippel]
-
A.
David Zippel
chosen
David Zippel is an American lyricist known for his work on Broadway musicals and animated films, including contributions to productions like "City of Angels" and Disney's "Hercules."
-
B.
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.
-
C.
Dexter Kozen
Dexter Kozen is an American theoretical computer scientist known for his influential work in logic in computer science, automata theory, and the semantics of programming languages.
-
D.
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.
-
E.
Johannes Eisermann
Johannes Eisermann is a scholar known for his professorship at the European University Viadrina in Frankfurt (Oder), where he has made notable academic contributions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde1117148190b0c98f906f1c872e |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66d1e488190a4b85decfb38097f |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.