Triple
T9343506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Stevens |
E224821
|
entity |
| Predicate | seriesOfStrictlyComeDancing |
P87627
|
FINISHED |
| Object | Series 6 |
—
|
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: Series 6 | Statement: [Rachel Stevens, seriesOfStrictlyComeDancing, Series 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesOfStrictlyComeDancing Context triple: [Rachel Stevens, seriesOfStrictlyComeDancing, Series 6]
-
A.
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.
-
B.
choreographyStyle
Indicates the specific style or form of choreography associated with a performance, routine, or choreographic work.
-
C.
hasDanceChoreography
Indicates that an entity is associated with or characterized by a specific dance choreography.
-
D.
continuedToDanceDespite
Indicates that one entity kept dancing even though a particular condition, event, or obstacle occurred that might normally have caused them to stop.
-
E.
danceForm
Indicates that one entity is a style or type of dance associated with the other entity.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bb244e88190b269e0bc997f066a |
completed | April 1, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:40 p.m.