Triple
T37917427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Lee |
E945858
|
entity |
| Predicate | hasGenreOfNotableShow |
P28041
|
FINISHED |
| Object | children's game show |
—
|
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: children's game show | Statement: [Greg Lee, hasGenreOfNotableShow, children's game show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreOfNotableShow Context triple: [Greg Lee, hasGenreOfNotableShow, children's game show]
-
A.
notableShow
Indicates that a show is especially prominent, distinguished, or significant in some noteworthy way.
-
B.
hasNotableShow
Indicates that an entity is associated with a particular show that is considered notable or significant.
-
C.
hasNotableGenre
chosen
Indicates that an entity is significantly associated with a particular genre, such that the genre is especially characteristic or noteworthy for that entity.
-
D.
notableGenreSeries
Indicates that a series is notably associated with or recognized for a particular genre.
-
E.
notableShowProduced
Indicates that an entity played a significant role in producing a show that is considered notable.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: May 3, 2026, 4:20 p.m.