Triple
T23612037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Dates |
E583064
|
entity |
| Predicate | intendedCastSize |
P137797
|
FINISHED |
| Object | one actor |
—
|
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: one actor | Statement: [Bad Dates, intendedCastSize, one actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedCastSize Context triple: [Bad Dates, intendedCastSize, one actor]
-
A.
intendedEnsembleSize
chosen
Indicates the number of participants or elements that a group, collection, or ensemble is designed or planned to contain.
-
B.
intendedCastMember
Indicates that an entity is planned or designated to be part of the cast of a particular production or work.
-
C.
hasSize
Indicates that one entity possesses a particular physical magnitude or extent, such as length, volume, or overall dimensions.
-
D.
desiredSizeIndicates
Indicates that one entity specifies or reflects the preferred or intended size of another entity.
-
E.
typicalCastSize
Indicates the usual or standard number of cast members involved in a production or performance.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0f582148190a525119aa51b9b84 |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:45 p.m.