Triple
T27597014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witney Carson |
E699925
|
entity |
| Predicate | statusOnShow |
P183486
|
FINISHED |
| Object | professional dancer |
—
|
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: professional dancer | Statement: [Witney Carson, statusOnShow, professional dancer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOnShow Context triple: [Witney Carson, statusOnShow, professional dancer]
-
A.
showState
Indicates that an entity presents or reveals the current condition, status, or situation of another entity.
-
B.
statusModel
Indicates that an entity is associated with a particular status representation or status-handling model.
-
C.
formedOnShow
Indicates that something was created, established, or came into existence during a particular show or performance.
-
D.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
E.
visibilityStatus
Indicates the current level or state of how observable, accessible, or exposed an entity is within a given context.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: April 27, 2026, 2:07 p.m.