Triple
T13930670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straight Outta Compton |
E334979
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Neil Brown Jr. |
E973256
|
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: Neil Brown Jr. | Statement: [Straight Outta Compton, stars, Neil Brown Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil Brown Jr. Context triple: [Straight Outta Compton, stars, Neil Brown Jr.]
-
A.
Neil Brown Jr.
chosen
Neil Brown Jr. is an American actor known for his roles in film and television, including prominent parts in series like Dirk Gently's Holistic Detective Agency and SEAL Team.
-
B.
Ryan Brown
Ryan Brown is a film editor known for his work on the movie "Horse Girl."
-
C.
Ryan Brown
Ryan Brown is a musician best known for his past role as a member of the rock band Papa Roach.
-
D.
Ryan Brown
Ryan Brown is a comic book colorist known for his work on the supernatural action series *The Tower Chronicles*.
-
E.
Robbie Anderson
Robbie Anderson is an American professional football wide receiver who has played in the NFL for multiple teams, including the New York Jets and Carolina Panthers.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c67e2c8190a14b273af0d93b0a |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:16 p.m.