Triple
T13163958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Boardman |
E312797
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Crowd |
E271748
|
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: The Crowd | Statement: [Eleanor Boardman, notableWork, The Crowd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Crowd Context triple: [Eleanor Boardman, notableWork, The Crowd]
-
A.
The Crowd
chosen
The Crowd is a 1928 silent drama film directed by King Vidor that realistically portrays the struggles of an ordinary man against the impersonal forces of modern urban life.
-
B.
The Crowd Roars
The Crowd Roars is a 1938 American crime drama film directed by Richard Thorpe.
-
C.
The Crowd Roars
The Crowd Roars is a 1932 American pre-Code sports drama film about auto racing, directed by Howard Hawks and starring James Cagney.
-
D.
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.
-
E.
The Crowd Roars (1928)
The Crowd Roars (1928) is a silent drama film directed by King Vidor, known for its intense depiction of auto racing and the personal conflicts surrounding a star driver.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0bf5a48190bf245dceee24b579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf6c9ec8190bc0097d62e57e52a |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.