Triple
T2498239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Penn |
E52401
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Arthur Hiller Penn |
E52401
|
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: Arthur Hiller Penn | Statement: [Arthur Penn, fullName, Arthur Hiller Penn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Hiller Penn Context triple: [Arthur Penn, fullName, Arthur Hiller Penn]
-
A.
Arthur Hiller
Arthur Hiller was a Canadian-born film director best known for popular Hollywood movies such as "Love Story" and "The In-Laws."
-
B.
Arthur Penn
chosen
Arthur Penn was an influential American film director whose innovative, character-driven works like "Bonnie and Clyde" helped define the New Hollywood era.
-
C.
Stanley Kramer
Stanley Kramer was an American film director and producer renowned for his socially conscious dramas and courtroom films, including classics like "Judgment at Nuremberg," "Guess Who's Coming to Dinner," and "Inherit the Wind."
-
D.
Tom Benedek
Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
-
E.
Sidney Lumet
Sidney Lumet was an acclaimed American film director known for socially conscious, character-driven dramas such as "12 Angry Men," "Serpico," and "Dog Day Afternoon."
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1ae9040819091b3ca5b98659e99 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbad005881909797050a2dfc3d38 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:46 p.m.