Triple
T28994584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elite Model Management |
E736118
|
entity |
| Predicate | talentType |
P166276
|
FINISHED |
| Object | female models |
—
|
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: female models | Statement: [Elite Model Management, talentType, female models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: talentType Context triple: [Elite Model Management, talentType, female models]
-
A.
discoversTalentOf
Indicates that one entity identifies or recognizes the talent or abilities possessed by another entity.
-
B.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
C.
skillType
Indicates the specific category or kind of skill that characterizes or classifies an associated skill-related entity or action.
-
D.
talentAgent
Indicates that one entity serves as a professional representative or manager (a talent agent) for another entity’s artistic, athletic, or entertainment career.
-
E.
typicalPerformerRoleType
Indicates the usual or characteristic role type that a performer commonly plays or is associated with in their performances.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 9:29 a.m.