Triple
T11374448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael C. Butler |
E269428
|
entity |
| Predicate | roleInJaws2 |
P98960
|
FINISHED |
| Object | director of photography |
—
|
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 of photography | Statement: [Michael C. Butler, roleInJaws2, director of photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInJaws2 Context triple: [Michael C. Butler, roleInJaws2, director of photography]
-
A.
roleInMonsterVerse
Indicates that an entity has a specific role or function within the MonsterVerse franchise or universe.
-
B.
roleInBeastsOfNoNation
Indicates that an entity has a role or participation in the film "Beasts of No Nation."
-
C.
roleInBladeII
Indicates that an entity has a specific role or participation in the movie "Blade II."
-
D.
roleInZootopia
Indicates that an entity has a specific role, function, or position within the context of Zootopia.
-
E.
roleInFilmEcosystem
Indicates the specific function or position an entity holds within the broader network of activities, stakeholders, and processes that make up the film ecosystem.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:33 p.m.