Triple
T33682969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathy's Clown |
E862949
|
entity |
| Predicate | RebaMcEntireCoverGenre |
P177646
|
FINISHED |
| Object | country |
—
|
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: country | Statement: [Cathy's Clown, RebaMcEntireCoverGenre, country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RebaMcEntireCoverGenre Context triple: [Cathy's Clown, RebaMcEntireCoverGenre, country]
-
A.
roleOfRebaMcEntire
Indicates that the specified entity is a role or character portrayed by Reba McEntire.
-
B.
formerlyCountry
Indicates that an entity was previously recognized as a country but no longer holds that status.
-
C.
WhitneyHoustonVersionGenre
Indicates that a particular version or recording by Whitney Houston belongs to a specified musical genre.
-
D.
originalBroadwayCountry
Indicates the country in which a production’s original Broadway staging took place.
-
E.
country music duo
Indicates a relationship where two musicians are jointly associated as a performing pair specializing in country music.
- 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_69f3498662b48190904442c39df84fb7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:43 a.m.