Triple
T10767952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Gregory |
E254000
|
entity |
| Predicate | roleAtAbbeyTheatre |
P11060
|
FINISHED |
| Object | director |
—
|
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: director | Statement: [Lady Gregory, roleAtAbbeyTheatre, director]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtAbbeyTheatre Context triple: [Lady Gregory, roleAtAbbeyTheatre, director]
-
A.
theaterRole
Indicates that an entity holds or performs a specific role or character in a theatrical production in relation to another entity (such as a play or performance).
-
B.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
C.
isPartOfTheater
Indicates that one entity functions as a component, section, or subdivision within a larger theater (such as a theater building, complex, or organizational unit).
-
D.
theaterResponsibility
chosen
Indicates that one entity has a duty, role, or obligation related to the operation, management, or activities of a theater.
-
E.
theaterWork
Indicates a relationship where an entity is a theatrical work (such as a play or stage production) associated with another entity, typically as its subject, creator, or context.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322eb2f08190999e09428e7f7ba8 |
completed | April 9, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.