Triple

T25158874
Position Surface form Disambiguated ID Type / Status
Subject Mother Wore Tights E626385 entity
Predicate songFeatured P20452 FINISHED
Object I Feel Like Dancing
"I Feel Like Dancing" is a musical number from the classic 1947 film Mother Wore Tights, known for its lively, old-fashioned showbiz style.
 E1667465 NE 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: I Feel Like Dancing | Statement: [Mother Wore Tights, songFeatured, I Feel Like Dancing]
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: I Feel Like Dancing
Triple: [Mother Wore Tights, songFeatured, I Feel Like Dancing]
Generated description
"I Feel Like Dancing" is a musical number from the classic 1947 film Mother Wore Tights, known for its lively, old-fashioned showbiz style.

Provenance (5 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_69e2ff2834ec8190b0872e2ec3d76023 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f46b8b03508190ad7ef11ca65eda05 completed May 1, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d0fe3388190803cc7bcf76446bd completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105e32237c8190ba397b04b9692e7b completed May 22, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a105ef626c08190933088d575b2e923 completed May 22, 2026, 1:49 p.m.
Created at: April 18, 2026, 6:31 a.m.