Triple

T23478165
Position Surface form Disambiguated ID Type / Status
Subject Love Over and Over E570325 entity
Predicate hasPart P35 FINISHED
Object Tu vas m’accompagner NE NERFINISHED

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: Tu vas m’accompagner | Statement: [Love Over and Over, hasPart, Tu vas m’accompagner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tu vas m’accompagner
Context triple: [Love Over and Over, hasPart, Tu vas m’accompagner]
  • A. J’irai où tu iras
    "J’irai où tu iras" is a popular French pop duet by Céline Dion and Jean-Jacques Goldman, known for its upbeat tempo and romantic lyrics.
  • B. Je te dis vous
    "Je te dis vous" is a 1993 studio album by French singer Patricia Kaas that blends chanson, pop, and jazz influences and helped solidify her international success.
  • C. Emmenez-moi
    "Emmenez-moi" is a famous French chanson by Charles Aznavour, celebrated for its wistful lyrics about escape and longing and its enduring popularity in the Francophone music canon.
  • D. Tu es mon autre
    "Tu es mon autre" is a French-language duet by Lara Fabian and Maurane, known as an emotional ballad about deep, almost twin-like connection between two people.
  • E. Je te donne
    "Je te donne" is a popular French song co-written and performed by Jean-Jacques Goldman, known for its bilingual French-English lyrics and enduring success in the Francophone music world.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tu vas m’accompagner
Target entity description: "Tu vas m’accompagner" is a French-language song featured on the album *Love Over and Over* by the Canadian folk duo Kate & Anna McGarrigle.
  • A. J’irai où tu iras
    "J’irai où tu iras" is a popular French pop duet by Céline Dion and Jean-Jacques Goldman, known for its upbeat tempo and romantic lyrics.
  • B. Je te dis vous
    "Je te dis vous" is a 1993 studio album by French singer Patricia Kaas that blends chanson, pop, and jazz influences and helped solidify her international success.
  • C. Emmenez-moi
    "Emmenez-moi" is a famous French chanson by Charles Aznavour, celebrated for its wistful lyrics about escape and longing and its enduring popularity in the Francophone music canon.
  • D. Tu es mon autre
    "Tu es mon autre" is a French-language duet by Lara Fabian and Maurane, known as an emotional ballad about deep, almost twin-like connection between two people.
  • E. Je te donne
    "Je te donne" is a popular French song co-written and performed by Jean-Jacques Goldman, known for its bilingual French-English lyrics and enduring success in the Francophone music world.
  • F. None of above. chosen

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74e7e648190b89006dce7d7ce05 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:02 p.m.