Triple
T9544773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June Boatwright |
E230252
|
entity |
| Predicate | performsMusicAt |
P31571
|
FINISHED |
| Object | church services |
—
|
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: church services | Statement: [June Boatwright, performsMusicAt, church services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsMusicAt Context triple: [June Boatwright, performsMusicAt, church services]
-
A.
performsMusicIn
chosen
Indicates that an entity presents or plays music within a particular venue, event, or context.
-
B.
performingArtsDomain
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
-
C.
hasLivePerformanceWith
Indicates that two or more entities participate together in the same live performance event.
-
D.
laterPerformanceVenue
Indicates that a performance or event took place at this venue at a later time than another referenced performance or venue.
-
E.
intendedPerformanceVenue
Indicates the venue or location where a performance is planned or intended to take place.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9901f2bc8190a4076f5947660df9 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:01 p.m.