Triple
T31084753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shall We Dance (1937 film) |
E792199
|
entity |
| Predicate | featuresDancePair |
P34738
|
FINISHED |
| Object | Fred Astaire and Ginger Rogers |
—
|
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: Fred Astaire and Ginger Rogers | Statement: [Shall We Dance (1937 film), featuresDancePair, Fred Astaire and Ginger Rogers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDancePair Context triple: [Shall We Dance (1937 film), featuresDancePair, Fred Astaire and Ginger Rogers]
-
A.
dancePartner
chosen
Indicates that two entities are engaged in or paired together for a dance.
-
B.
featuresDanceTeam
Indicates that something includes or presents a dance team as part of its composition, offering, or program.
-
C.
featuresDanceNumber
Indicates that the subject includes or presents a dance performance or choreographed dance sequence.
-
D.
typeOfDanceFeatured
Indicates the specific style or category of dance that is highlighted or showcased in a given context or work.
-
E.
danceFeature
Indicates that one entity serves as a notable characteristic, element, or attribute of a dance or dancing-related 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a004d0b46148190bcec4ea67acfe170 |
completed | May 10, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_6a004c92283081909f229c1720af155a |
completed | May 10, 2026, 9:14 a.m. |
Created at: April 29, 2026, 9:02 p.m.