Triple
T5671063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reds |
E124976
|
entity |
| Predicate | entertainmentForm |
P30079
|
FINISHED |
| Object | Roman spectacles |
—
|
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: Roman spectacles | Statement: [Reds, entertainmentForm, Roman spectacles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entertainmentForm Context triple: [Reds, entertainmentForm, Roman spectacles]
-
A.
entertainmentType
chosen
Indicates the kind or category of entertainment associated with an entity or event.
-
B.
theater
Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
-
C.
inFilmAndTV
Indicates that the subject appears or is featured within the context of film and television works.
-
D.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
E.
performingArtsDomain
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.