Triple
T32407276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beyoncé’s 2018 Coachella performance |
E828116
|
entity |
| Predicate | numberOfPerformersOnStage |
P84129
|
FINISHED |
| Object | over 100 |
—
|
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: over 100 | Statement: [Beyoncé’s 2018 Coachella performance, numberOfPerformersOnStage, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPerformersOnStage Context triple: [Beyoncé’s 2018 Coachella performance, numberOfPerformersOnStage, over 100]
-
A.
numberOfPerformers
chosen
Indicates the quantity of performers involved in a given event, act, or performance.
-
B.
approximateNumberOfPerformers
Indicates an estimated count of performers involved in an event or performance.
-
C.
numberOfMainPerformers
Indicates the count of primary performers involved in a performance or event.
-
D.
typicalPerformerCount
Indicates the usual or standard number of performers involved in carrying out the associated activity or event.
-
E.
characterCountOnStage
Indicates the number of characters that are present on stage at a given moment in a performance or scene.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01b31b233c819091974a06f7a76d4a |
completed | May 11, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_6a01b2c147008190bbf9e0fa1bbae1f3 |
completed | May 11, 2026, 10:43 a.m. |
Created at: May 1, 2026, 12:53 a.m.