Triple
T25407946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actor for "Life with Father" |
E636607
|
entity |
| Predicate | recognizedPerformanceType |
P88171
|
FINISHED |
| Object | leading performance |
—
|
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: leading performance | Statement: [Academy Award for Best Actor for "Life with Father", recognizedPerformanceType, leading performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedPerformanceType Context triple: [Academy Award for Best Actor for "Life with Father", recognizedPerformanceType, leading performance]
-
A.
subsequentPerformanceType
Indicates the type or category of a performance that occurs after or as a follow-up to a prior performance or event.
-
B.
typeOfPerformances
Indicates the kinds or categories of performances associated with or offered by an entity.
-
C.
typicalPerformance
Indicates the usual or characteristic level at which an entity performs under normal conditions.
-
D.
performanceClass
Indicates the category or level of performance to which an entity is assigned, typically reflecting its capabilities or quality tier.
-
E.
performanceTypeInFilm
chosen
Indicates that a particular type or category of performance is featured or occurs within a specific film.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 21, 2026, 1:52 p.m.