Triple
T27862445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lives of a Bengal Lancer (1935 film) |
E704263
|
entity |
| Predicate | oscarWinningCrewMember |
P163424
|
FINISHED |
| Object | Clem Beauchamp |
—
|
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: Clem Beauchamp | Statement: [The Lives of a Bengal Lancer (1935 film), oscarWinningCrewMember, Clem Beauchamp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oscarWinningCrewMember Context triple: [The Lives of a Bengal Lancer (1935 film), oscarWinningCrewMember, Clem Beauchamp]
-
A.
producedCrewMember
Indicates that one entity served as a crew member involved in the creation or production of another entity (such as a film, show, or project).
-
B.
academyAwardNomineeDirector
Indicates that a person served as the director of a film that was nominated for an Academy Award.
-
C.
hasCrewMember
Indicates that an entity includes or employs another entity as a member of its crew.
-
D.
supportingActorAwardRecipient
Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
-
E.
supportingActorOfWinningFilm
Indicates that an entity is a supporting actor in a film that has won a specified award or competition.
- F. None of above. chosen
Provenance (4 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6394583108190b8f5438a4b4f7211 |
completed | May 2, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 6:18 p.m.