Triple
T26696942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Once and for All |
E673047
|
entity |
| Predicate | settingOfPerformance |
P1957
|
FINISHED |
| Object | within the story of Newsies |
—
|
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: within the story of Newsies | Statement: [Once and for All, settingOfPerformance, within the story of Newsies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfPerformance Context triple: [Once and for All, settingOfPerformance, within the story of Newsies]
-
A.
typicalPerformanceSetting
Indicates the usual or most common context, venue, or environment in which a performance or activity typically takes place.
-
B.
performanceWith
Indicates a relationship where two or more entities participate together in the same performance or staged presentation.
-
C.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
D.
performanceAs
Indicates that one entity serves in a particular role, character, or capacity within a performance or presentation involving another entity.
-
E.
performanceBasis
Indicates that one entity’s performance is evaluated, determined, or justified on the basis of another specified factor, standard, or reference.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 3:29 a.m.