Triple
T24099498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian J. Reynolds |
E597026
|
entity |
| Predicate | roleInGangRelated |
P155066
|
FINISHED |
| Object | cinematographer |
—
|
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: cinematographer | Statement: [Brian J. Reynolds, roleInGangRelated, cinematographer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInGangRelated Context triple: [Brian J. Reynolds, roleInGangRelated, cinematographer]
-
A.
roleInGang
Indicates that an entity holds a specific position or function within a gang organization.
-
B.
associatedWithGang
Indicates that an entity has a known or alleged connection, membership, or involvement with a gang.
-
C.
associatedWithFictionalGang
Indicates a relationship where an entity is linked or connected to a fictional gang, such as by membership, affiliation, or notable involvement.
-
D.
roleInCrime
Indicates the specific function, responsibility, or participation an entity has within the commission of a particular crime.
-
E.
roleInDa5Bloods
Indicates that an entity had an acting role in the film "Da 5 Bloods."
- 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_69e288c548048190a5c1018da1166a21 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dd2800a08190af6920228eda0ea6 |
completed | April 29, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17b58012c81909106b332db399023 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 10:59 p.m.