Triple
T17362153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Dvorak |
E422094
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | The Crowd Roars |
—
|
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: The Crowd Roars | Statement: [Ann Dvorak, workedOn, The Crowd Roars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Crowd Roars Context triple: [Ann Dvorak, workedOn, The Crowd Roars]
-
A.
The Crowd Roars
chosen
The Crowd Roars is a 1932 American pre-Code sports drama film about auto racing, directed by Howard Hawks and starring James Cagney.
-
B.
The Crowd Roars
The Crowd Roars is a 1938 American crime drama film directed by Richard Thorpe.
-
C.
The Roar of the Crowd
"The Roar of the Crowd" is a 1909 American novel by James Corbett and Morris Raphael Cohen that dramatizes the rise of a young prizefighter, blending boxing action with themes of ambition and personal honor.
-
D.
Voices from the Crowd
Voices from the Crowd is a lesser-known work by Scottish poet and journalist Charles Mackay, reflecting his characteristic interest in public opinion and social issues.
-
E.
The Crowds
The Crowds is an English title for the 39th chapter of the Qur’an, which emphasizes sincere worship of God alone and contrasts the fates of believers and disbelievers.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4d6de88190b816b93ff5778157 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.