Triple
T26696743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dossett |
E673041
|
entity |
| Predicate | theatreDomain |
P117655
|
FINISHED |
| Object | Broadway |
—
|
NE NERFINISHED |
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: Broadway | Statement: [John Dossett, theatreDomain, Broadway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatreDomain Context triple: [John Dossett, theatreDomain, Broadway]
-
A.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
B.
theatre
Indicates that an entity is a theater or is associated with theatrical performances or activities.
-
C.
partOfTheatre
Indicates that one entity is a component, section, or subdivision of a theatre.
-
D.
relatedTheatre
chosen
Indicates that there is an association or connection between an entity and a theatre, such as relevance, involvement, or contextual linkage.
-
E.
théâtre
Indicates a relationship where an entity is associated with, takes place in, or is characterized as a theater or theatrical performance 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6177c7ddc8190b6c96e97be69030d |
completed | May 2, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:29 a.m.