Triple
T30857890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeWolf Hopper |
E785976
|
entity |
| Predicate | numberOfPerformancesOf"CaseyAtTheBat" |
P76895
|
FINISHED |
| Object | over 10,000 |
—
|
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 10,000 | Statement: [DeWolf Hopper, numberOfPerformancesOf"CaseyAtTheBat", over 10,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPerformancesOf"CaseyAtTheBat" Context triple: [DeWolf Hopper, numberOfPerformancesOf"CaseyAtTheBat", over 10,000]
-
A.
numberOfBroadwayPerformances
Indicates the total count of times a production or performance has been staged on Broadway.
-
B.
numberOfDailyPerformances
Indicates the total count of performances that occur each day for the given subject.
-
C.
performedInNumber
Indicates that an action or event was carried out a specified number of times.
-
D.
totalPerformances
chosen
Indicates the total number of times a particular performance, show, or act has been carried out.
-
E.
numberOfExtantPlays
Indicates the quantity of plays by an entity that are still in existence or have survived to the present.
- 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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00a846a8f881908b073ad13a5af6ca |
completed | May 10, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_6a00a7aae194819085e1a2fd406f7922 |
completed | May 10, 2026, 3:43 p.m. |
Created at: April 29, 2026, 8:46 p.m.