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 Fred Astaire and Ginger Rogers were an iconic Hollywood dance duo of the 1930s and 1940s, renowned for their elegant ballroom routines and musical film collaborations.	`E1944461`	NE FINISHED

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: Fred Astaire and Ginger Rogers | Statement: [Shall We Dance (1937 film), featuresDancePair, Fred Astaire and Ginger Rogers]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Fred Astaire and Ginger Rogers
Triple: [Shall We Dance (1937 film), featuresDancePair, Fred Astaire and Ginger Rogers]

Generated description

Fred Astaire and Ginger Rogers were an iconic Hollywood dance duo of the 1930s and 1940s, renowned for their elegant ballroom routines and musical film collaborations.

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 (6 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.
NED1	Entity disambiguation (via context triple)	`batch_6a292b2ba15c81909db4bb602d1c4353`	completed	June 10, 2026, 9:15 a.m.
NEDg	Description generation	`batch_6a292cb9db7081909a3f2ff33bd3a2b4`	completed	June 10, 2026, 9:22 a.m.
NED2	Entity disambiguation (via description)	`batch_6a292d2fe9248190979437db9ab64ed8`	completed	June 10, 2026, 9:24 a.m.
PD	Predicate disambiguation	`batch_6a004c92283081909f229c1720af155a`	completed	May 10, 2026, 9:14 a.m.

Created at: April 29, 2026, 9:02 p.m.