Triple

T30790585
Position Surface form Disambiguated ID Type / Status
Subject Geneviève Bujold E784080 entity
Predicate notableWork P4 FINISHED
Object The Dance Goes On
The Dance Goes On is a film associated with acclaimed Canadian actress Geneviève Bujold, reflecting her continued work in character-driven cinema.
 E1931816 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: The Dance Goes On | Statement: [Geneviève Bujold, notableWork, The Dance Goes On]
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: The Dance Goes On
Triple: [Geneviève Bujold, notableWork, The Dance Goes On]
Generated description
The Dance Goes On is a film associated with acclaimed Canadian actress Geneviève Bujold, reflecting her continued work in character-driven cinema.

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_69f224b2e2a48190b19aa43db9da5b67 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6900c34f08190b737d23701f439bd completed May 3, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_6a28b0ab99dc8190b9abc5c621011d9f completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b4c2ef9881909dc874a55878a70d completed June 10, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a28b563bb8081909a24f086f105b85d completed June 10, 2026, 12:52 a.m.
Created at: April 29, 2026, 8:42 p.m.