Triple
T10908161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Coogler |
E257623
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Coogler |
E257623
|
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: Coogler | Statement: [Ryan Coogler, familyName, Coogler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coogler Context triple: [Ryan Coogler, familyName, Coogler]
-
A.
Coogler
chosen
Coogler is the surname of Ryan Coogler, the acclaimed American filmmaker known for directing films such as "Fruitvale Station," "Creed," and "Black Panther."
-
B.
Maulik Pancholy
Maulik Pancholy is an American actor and author best known for his comedic television roles, including his portrayal of Jonathan on the sitcom "30 Rock."
-
C.
Christopher Brody Brown
Christopher Brody Brown is an American songwriter and producer best known for his work with Bruno Mars on hit songs such as "Young, Wild & Free."
-
D.
Rogen
Rogen is the surname of Canadian actor, comedian, writer, and filmmaker Seth Rogen, known for his work in contemporary comedy films.
-
E.
Tudyk
Tudyk is the surname of Alan Tudyk, an American actor known for his roles in films like "Rogue One" and the series "Firefly."
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706824d08190ba894d144cc6b3ba |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1554fc61c8190a0354e2f24cb62e4 |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:22 p.m.