Triple
T22128575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fat |
E546851
|
entity |
| Predicate | hasChoreographySimilarTo |
P129100
|
FINISHED |
| Object | Bad |
—
|
NE NERFINISHED |
How this triple was built (3 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: Bad | Statement: [Fat, hasChoreographySimilarTo, Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Context triple: [Fat, hasChoreographySimilarTo, Bad]
-
A.
Bad
"Bad" is a U2 song, originally released on their 1984 album The Unforgettable Fire, known for its emotive live performances and themes of addiction and redemption.
-
B.
Bad
Bad is a German designation granted to spa towns that meet specific health, climate, and therapeutic standards.
-
C.
Bad
chosen
"Bad" is a hit pop song by Michael Jackson, released in 1987 as the title track of his acclaimed album.
-
D.
BAD
BAD is the FAA location identifier assigned to Barksdale Air Force Base in Louisiana, a major United States Air Force installation.
-
E.
the Bad
The Bad was the notorious nickname of William I of Sicily, a 12th-century Norman king criticized by contemporaries for his harsh rule and political failures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChoreographySimilarTo Context triple: [Fat, hasChoreographySimilarTo, Bad]
-
A.
hasChoreographyBasedOn
chosen
Indicates that one choreography is derived from, inspired by, or structured according to another existing work or source.
-
B.
hasDanceChoreography
Indicates that an entity is associated with or characterized by a specific dance choreography.
-
C.
choreographedTo
Indicates that one action, movement, or sequence has been deliberately designed or arranged to align in timing, pattern, or structure with another.
-
D.
choreographedIn
Indicates that an entity (typically a choreographer or group) created or arranged the choreography for a performance, work, or event in a specified context or production.
-
E.
hasDanceAssociation
Indicates that there is a relationship or affiliation between an entity and a dance-related organization, group, or activity.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12983acfc81908013f66acb31f198 |
completed | April 28, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:32 p.m.