Triple
T2252229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Portillo |
E49641
|
entity |
| Predicate | hasGenreAsPresenter |
P26905
|
FINISHED |
| Object | history documentary |
—
|
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: history documentary | Statement: [Michael Portillo, hasGenreAsPresenter, history documentary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreAsPresenter Context triple: [Michael Portillo, hasGenreAsPresenter, history documentary]
-
A.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
B.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
C.
hasPresenterType
chosen
Indicates the specific role or category of presenter associated with an event, item, or presentation.
-
D.
coveredInGenre
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
E.
hasNotableGenre
Indicates that an entity is significantly associated with a particular genre, such that the genre is especially characteristic or noteworthy for that entity.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc11eb2708190bc5a3d152a3bb133 |
completed | March 7, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69abbdb34c148190b51e99f540f97204 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.