Triple
T4033423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Force of Evil |
E83767
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Abraham Polonsky |
E318248
|
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: Abraham Polonsky | Statement: [Force of Evil, director, Abraham Polonsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abraham Polonsky Context triple: [Force of Evil, director, Abraham Polonsky]
-
A.
Abraham Polonsky
chosen
Abraham Polonsky was an American screenwriter and director known for his socially conscious, politically charged films and for being blacklisted during the Hollywood Red Scare.
-
B.
Stephen Poliakoff
Stephen Poliakoff is a British playwright, screenwriter, and director known for his distinctive, character-driven television dramas and films.
-
C.
Alec Sokolow
Alec Sokolow is an American screenwriter best known for co-writing the groundbreaking animated film "Toy Story."
-
D.
Norman Krasna
Norman Krasna was an American screenwriter, playwright, and director known for his witty romantic comedies in Hollywood’s Golden Age.
-
E.
Avram Goldberg
Avram Goldberg is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Goldberg.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563e11708190abc9ba55b1be43a5 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.