Triple
T2736386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dale Evans |
E60639
|
entity |
| Predicate | televisionGenre |
P30079
|
FINISHED |
| Object | Western |
—
|
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: Western | Statement: [Dale Evans, televisionGenre, Western]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionGenre Context triple: [Dale Evans, televisionGenre, Western]
-
A.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
B.
televisionFilm
Indicates that the subject is a television film (a movie produced for or originally distributed via television).
-
C.
entertainmentType
chosen
Indicates the kind or category of entertainment associated with an entity or event.
-
D.
televisionTradition
Indicates a customary or recurring practice involving watching or engaging with television as part of a shared routine or cultural habit.
-
E.
televisionWork
Indicates a relationship where a creative work is produced for, broadcast on, or primarily associated with television.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb11c66c81909058f2978aa5fae9 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.