Triple
T25249429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful Disaster |
E632691
|
entity |
| Predicate | isAssociatedWithTVShow |
P98553
|
FINISHED |
| Object | American Idol |
—
|
NE NERFINISHED |
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: American Idol | Statement: [Beautiful Disaster, isAssociatedWithTVShow, American Idol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAssociatedWithTVShow Context triple: [Beautiful Disaster, isAssociatedWithTVShow, American Idol]
-
A.
hasAssociatedTVSeries
Indicates that one entity is linked to another entity that is a related or derived television series.
-
B.
isTelevisionShowAbout
Indicates that a television show’s primary content, theme, or subject matter concerns a specified topic, person, event, or concept.
-
C.
worksOnTVShow
Indicates that an individual is professionally involved in the production or creation of a particular television show.
-
D.
associatedShow
chosen
Indicates a relationship where one entity is linked or connected to a particular show (e.g., as its subject, source, or related program).
-
E.
isTelevisionShowType
Indicates that one entity is a specific type or category of television show in relation to another 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_69e75a8fdd3881909ba0b05aa5da92a7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48089bf488190af50011ed396ffed |
completed | May 1, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:11 p.m.