Triple
T32146513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actress for In & Out |
E821036
|
entity |
| Predicate | isForPerformanceIn |
P173631
|
FINISHED |
| Object | In & Out |
—
|
NE NERFINISHED |
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: In & Out | Statement: [Academy Award for Best Supporting Actress for In & Out, isForPerformanceIn, In & Out]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isForPerformanceIn Context triple: [Academy Award for Best Supporting Actress for In & Out, isForPerformanceIn, In & Out]
-
A.
isHighPerformance
Indicates that an entity operates at a superior or above-standard level of efficiency, speed, or capability compared to typical expectations or benchmarks.
-
B.
intendedForPerformanceBy
Indicates that something (such as a work, role, or piece) is designed or meant to be performed by a particular performer or type of performer.
-
C.
forPerformanceBy
Indicates that something is intended, designed, or suitable to be performed by a particular agent or performer.
-
D.
performsWellOn
Indicates that one entity achieves good results or high performance when evaluated using, or operating within, another entity (such as a task, test, or environment).
-
E.
isPerfectFor
Indicates that one entity is ideally suited or optimally appropriate for another entity, purpose, or context.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9e219708190b17ca0d788527eeb |
completed | May 3, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:31 a.m.