Triple
T24332310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let's All Chant |
E613277
|
entity |
| Predicate | hasDancefloorReputation |
P155745
|
FINISHED |
| Object | floor-filler |
—
|
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: floor-filler | Statement: [Let's All Chant, hasDancefloorReputation, floor-filler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDancefloorReputation Context triple: [Let's All Chant, hasDancefloorReputation, floor-filler]
-
A.
hasDanceFloor
Indicates that a place or venue includes a designated area intended for dancing.
-
B.
hasDanceQuality
Indicates that something possesses a particular characteristic or attribute related to dance, such as style, skill, or expressive quality.
-
C.
hasLivePerformanceReputation
Indicates that an entity is recognized or characterized by a particular reputation regarding the quality or nature of its live performances.
-
D.
hasFloorRole
Indicates that an entity holds a specific role, function, or responsibility associated with a particular floor or level within a building or facility.
-
E.
hasDancePosition
Indicates that one entity occupies or is assigned a specific position or role within a dance formation or choreography.
- 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292f23db08190b701bb13aef7f10d |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:55 a.m.