Triple
T21398784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criss Cross |
E527856
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Dan Duryea |
—
|
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: Dan Duryea | Statement: [Criss Cross, starring, Dan Duryea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Duryea Context triple: [Criss Cross, starring, Dan Duryea]
-
A.
Dan Duryea
chosen
Dan Duryea was an American character actor best known for his distinctive portrayals of sneering villains and tough guys in film noir and classic Hollywood movies of the 1940s and 1950s.
-
B.
Richard Dix
Richard Dix was an American leading man of the silent and early sound film era, best known for his rugged roles in dramas and Westerns and for earning an Academy Award nomination for Best Actor.
-
C.
Robert Hoyt
Robert Hoyt is an individual notable enough to be recognized as a prominent bearer of the Hoyt surname.
-
D.
Lew Ayres
Lew Ayres was an American actor best known for his starring role in the anti-war film "All Quiet on the Western Front" and for his long-running portrayal of Dr. Kildare.
-
E.
Lee J. Cobb
Lee J. Cobb was an American character actor renowned for his powerful performances in film, television, and theater, including notable roles in classics like "12 Angry Men" and "On the Waterfront."
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cf3e808190847ad66d2e65f9f2 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:14 p.m.