Triple
T20879301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillinger (1945 film) |
E514102
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Philip Yordan |
—
|
NE NERFINISHED |
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: Philip Yordan | Statement: [Dillinger (1945 film), screenwriter, Philip Yordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Yordan Context triple: [Dillinger (1945 film), screenwriter, Philip Yordan]
-
A.
Philip Yordan
chosen
Philip Yordan was an American screenwriter and producer known for his work on numerous mid-20th-century Hollywood films, often associated with Westerns and film noir.
-
B.
George Aldrich
George Aldrich is a NASA contamination control specialist known for his long career testing materials for off-gassing to ensure astronaut safety on space missions.
-
C.
Tom Benedek
Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
-
D.
James Nava
James Nava is a character in the crime drama series "Shades of Blue," involved in the show's complex world of law enforcement and corruption.
-
E.
John Frankenheimer
John Frankenheimer was an American film and television director best known for his tense political and action thrillers such as "The Manchurian Candidate" and "Ronin."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c678b394819096a17de9e04cd74f |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.