Triple
T5650507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Blake |
E124494
|
entity |
| Predicate | intendedPerformanceVenue |
P65430
|
FINISHED |
| Object | proscenium stage |
—
|
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: proscenium stage | Statement: [Christopher Blake, intendedPerformanceVenue, proscenium stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedPerformanceVenue Context triple: [Christopher Blake, intendedPerformanceVenue, proscenium stage]
-
A.
originalPerformanceVenue
Indicates the venue where a performance was first originally presented or premiered.
-
B.
locatedInOperatedVenue
Indicates that an entity is situated within a venue that is managed or operated by a specified agent or organization.
-
C.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
D.
performsMusicIn
Indicates that an entity presents or plays music within a particular venue, event, or context.
-
E.
placeOfFirstPerformance
Indicates the location where a work (such as a play, musical piece, or performance) was first publicly performed.
- F. None of above. chosen
Provenance (4 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d4ca788190b20168b20cb1d030 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0727bc8190b16e9a669c04b4dd |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:42 p.m.