Triple
T18168321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty Films |
E434952
|
entity |
| Predicate | coFounderRoleOfFrankCapra |
P4562
|
FINISHED |
| Object | director-producer |
—
|
LITERAL 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: director-producer | Statement: [Liberty Films, coFounderRoleOfFrankCapra, director-producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coFounderRoleOfFrankCapra Context triple: [Liberty Films, coFounderRoleOfFrankCapra, director-producer]
-
A.
firstProductionDirector
Indicates that the object is the person who first served as production director for the subject.
-
B.
leadActorAlsoDirector
Indicates that the person who plays the lead acting role in a production is also the director of that same production.
-
C.
leadActorAlsoProducer
Indicates that the person who plays the lead acting role in a production also serves as a producer for that same production.
-
D.
cofounderOf
chosen
Indicates that a person jointly established or created an organization, company, or project with one or more other founders.
-
E.
foundingDirector
Indicates that one entity is the original director who established or helped establish the other entity (such as an organization, project, or institution).
- F. None of above.
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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df52f8b08190ab2c4d76b510cd28 |
completed | April 19, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.