Triple
T23530455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prairie Theatre |
E576550
|
entity |
| Predicate | typicalEventScale |
P64403
|
FINISHED |
| Object | major performances |
—
|
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: major performances | Statement: [Grand Prairie Theatre, typicalEventScale, major performances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEventScale Context triple: [Grand Prairie Theatre, typicalEventScale, major performances]
-
A.
typicalEvent
Indicates that the associated event is a common, characteristic, or prototypical occurrence for the given entity or situation.
-
B.
typicalEventDay
Indicates the day on which an event is normally or most commonly held or occurs.
-
C.
eventScale
chosen
Indicates the relative magnitude or size at which an event occurs or is characterized.
-
D.
celebrationScale
Indicates the relative intensity or magnitude of how strongly something is celebrated.
-
E.
typicalEventMonth
Indicates the month in which an event or type of event typically occurs.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac7759e88190aea55c65e24c081f |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:09 p.m.