Triple
T12990767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Love |
E321897
|
entity |
| Predicate | danceInfluence |
P104091
|
FINISHED |
| Object | African dance |
—
|
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: African dance | Statement: [True Love, danceInfluence, African dance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: danceInfluence Context triple: [True Love, danceInfluence, African dance]
-
A.
hasDanceInfluence
chosen
Indicates that one entity has contributed to shaping, inspiring, or affecting the dance style, technique, or choreography of another entity.
-
B.
influencesMusicOf
Indicates that one entity has an effect on, shapes, or contributes to the musical style, content, or development of another entity.
-
C.
musicAndDance
Indicates a relationship where music is performed, accompanied by, or integrated with dance as a coordinated activity or event.
-
D.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
E.
danceEra
Indicates the historical period or era during which a particular style or form of dance was prominent or originated.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:43 p.m.