Triple
T21431939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisha Hinds |
E528708
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Shots Fired |
—
|
NE NERFINISHED |
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: Shots Fired | Statement: [Aisha Hinds, notableWork, Shots Fired]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shots Fired Context triple: [Aisha Hinds, notableWork, Shots Fired]
-
A.
Shots Fired
chosen
Shots Fired is an American television drama miniseries that examines race, policing, and justice in the aftermath of racially charged shootings in a small Southern town.
-
B.
16 Shots
"16 Shots" is a politically charged protest song by rapper Vic Mensa that condemns police brutality and specifically addresses the 2014 police shooting of Laquan McDonald in Chicago.
-
C.
Don't Shoot
"Don't Shoot" is a track by Nas from his critically acclaimed hip-hop album *King's Disease III*, showcasing his reflective lyricism and mature storytelling.
-
D.
Fire Your Guns
"Fire Your Guns" is a high-energy hard rock song by Australian band AC/DC, featured on their 1990 album *The Razors Edge*.
-
E.
Shoot Your Shot
"Shoot Your Shot" is a funk and soul track by James Brown, featured on his influential 1973 album *The Payback*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3ec70f08190b84c4f747cfb290f |
completed | April 22, 2026, 11:41 a.m. |
Created at: April 16, 2026, 5:49 p.m.