Triple
T24511250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powder Her Face |
E606223
|
entity |
| Predicate | subsequentPerformanceType |
P156561
|
FINISHED |
| Object | fully staged production |
—
|
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: fully staged production | Statement: [Powder Her Face, subsequentPerformanceType, fully staged production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentPerformanceType Context triple: [Powder Her Face, subsequentPerformanceType, fully staged production]
-
A.
performanceWith
Indicates a relationship where two or more entities participate together in the same performance or staged presentation.
-
B.
subsequentAuthorityType
Indicates the type or category of authority that follows or succeeds a prior authority in a sequence or hierarchy.
-
C.
subsequentPractice
Indicates that one practice, activity, or exercise occurs after and in continuation of another in time.
-
D.
subsequentRole
Indicates that one role or position is held after, and in succession to, another role or position.
-
E.
subsequentCharacterization
Indicates that one characterization or description of something occurs later in time than, and in relation to, an earlier characterization of the same thing.
- 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_69e2c4c725148190a4e41577c5cb409c |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:24 a.m.