Triple
T18465548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pembroke College Chapel Choir |
E451147
|
entity |
| Predicate | hasOrganist |
P40702
|
FINISHED |
| Object | college organ scholar |
—
|
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: college organ scholar | Statement: [Pembroke College Chapel Choir, hasOrganist, college organ scholar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrganist Context triple: [Pembroke College Chapel Choir, hasOrganist, college organ scholar]
-
A.
hasOrganPlayer
chosen
Indicates that an entity has another entity serving as its organ player.
-
B.
hasPipeOrgan
Indicates that one entity possesses, contains, or is equipped with a pipe organ.
-
C.
hasPianist
Indicates that an entity is associated with or features a pianist, typically specifying who performs the piano part in a work, event, or group.
-
D.
hasOrganBy
Indicates that one entity possesses or includes another entity as an organ or component part.
-
E.
hasOldestPlayableOrgan
Indicates that the subject possesses or is associated with the oldest playable organ.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a83a27c8190aafb82f615c2dd72 |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:34 a.m.