Triple
T6953529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shots Fired |
E161184
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Aisha Hinds |
E528708
|
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: Aisha Hinds | Statement: [Shots Fired, castMember, Aisha Hinds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aisha Hinds Context triple: [Shots Fired, castMember, Aisha Hinds]
-
A.
Aisha Hinds
chosen
Aisha Hinds is an American actress known for her powerful supporting and character roles in film and television, particularly in drama and crime series.
-
B.
Khandi Alexander
Khandi Alexander is an American actress, dancer, and choreographer known for her roles in television series such as "NewsRadio," "CSI: Miami," "Treme," and "Scandal."
-
C.
Yaya DaCosta
Yaya DaCosta is an American actress and model known for her work in film, television, and fashion, including roles in "America's Next Top Model," "The Butler," and "Chicago Med."
-
D.
Amber Atkins
Amber Atkins is the ambitious small-town teenager and beauty pageant contestant portrayed by Kirsten Dunst in the dark comedy film "Drop Dead Gorgeous."
-
E.
Teyonah Parris
Teyonah Parris is an American actress known for her roles in projects such as Dear White People, Chi-Raq, and the Marvel Cinematic Universe series WandaVision and film The Marvels.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7587ee1b08190b9f53ab7df4a4a58 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:29 p.m.