Triple
T30651267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahsha Hayes |
E780265
|
entity |
| Predicate | mainCastStatus |
P132280
|
FINISHED |
| Object | main character in early seasons of Hit the Floor |
—
|
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: main character in early seasons of Hit the Floor | Statement: [Ahsha Hayes, mainCastStatus, main character in early seasons of Hit the Floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCastStatus Context triple: [Ahsha Hayes, mainCastStatus, main character in early seasons of Hit the Floor]
-
A.
mainCastIncludes
chosen
Indicates that a work’s primary cast features the specified person or character as one of its main members.
-
B.
airingStatus
Indicates the current broadcast state of something, such as whether it is currently airing, has finished airing, or is scheduled to air.
-
C.
leadCharacterStatus
Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
-
D.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
E.
filmStatus
Indicates the current production, release, or availability state of a film (e.g., announced, in production, released, cancelled).
- F. None of above.
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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 29, 2026, 8:30 p.m.