Triple
T28550145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenna Leigh Green |
E722861
|
entity |
| Predicate | performingArtsSpecialization |
P148906
|
FINISHED |
| Object | stage acting |
—
|
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: stage acting | Statement: [Jenna Leigh Green, performingArtsSpecialization, stage acting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performingArtsSpecialization Context triple: [Jenna Leigh Green, performingArtsSpecialization, stage acting]
-
A.
performingArtsDomain
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
-
B.
performingArtsWorkOf
Indicates that one entity is a performing arts work (such as a play, dance, or musical performance) created by or belonging to another entity.
-
C.
genreSpecialty
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
D.
performsMusicIn
Indicates that an entity presents or plays music within a particular venue, event, or context.
-
E.
performingArtRole
chosen
Indicates a role or function that an entity fulfills within the context of a performing arts activity or production.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 28, 2026, 3:42 a.m.