Triple
T24750009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jathil |
E619113
|
entity |
| Predicate | historicalPerformerType |
P20624
|
FINISHED |
| Object | young women |
—
|
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: young women | Statement: [Jathil, historicalPerformerType, young women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPerformerType Context triple: [Jathil, historicalPerformerType, young women]
-
A.
performerType
chosen
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
B.
originalPerformerGenre
Indicates that a performer is originally associated with or primarily known for a particular musical or artistic genre.
-
C.
traditionalPerformer
Indicates that an entity performs or practices traditional, culturally inherited arts, rituals, or performances.
-
D.
performerOn
Indicates that an entity serves as the performer or executing agent of an action, event, or work associated with another entity.
-
E.
hasPerformerBirthYear
Indicates that a performer is associated with a specific year in which they were born.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 4:24 a.m.