Triple

T12668289
Position Surface form Disambiguated ID Type / Status
Subject I Will Follow Him E302612 entity
Predicate hasEnglishAdaptationFrom P1926 FINISHED
Object French song Chariot E293461 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: French song Chariot | Statement: [I Will Follow Him, hasEnglishAdaptationFrom, French song Chariot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French song Chariot
Context triple: [I Will Follow Him, hasEnglishAdaptationFrom, French song Chariot]
  • A. French song "Sur le pont d’Avignon"
    "Sur le pont d’Avignon" is a traditional French children’s song and dance tune celebrating the famous bridge in Avignon.
  • B. Chariot (song) chosen
    "Chariot" is a soulful pop-rock ballad by American singer-songwriter Gavin DeGraw that became one of his signature hits in the early 2000s.
  • C. French song "Les moulins de mon cœur"
    "Les moulins de mon cœur" is the original French version of the classic song "The Windmills of Your Mind," renowned for its poetic lyrics and melancholic melody.
  • D. On connaît la chanson
    On connaît la chanson is a 1997 French comedy-drama film by Alain Resnais that blends romantic entanglements with characters lip-syncing to famous French pop songs.
  • E. La Belle Noiseuse
    La Belle Noiseuse is a 1991 French drama film by Jacques Rivette that explores the intense, time-consuming creation of a masterpiece painting and the complex relationship between an aging artist and his young model.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnglishAdaptationFrom
Context triple: [I Will Follow Him, hasEnglishAdaptationFrom, French song Chariot]
  • A. hasEnglishEdition
    Indicates that one entity has a version or edition of itself that is produced or available in the English language.
  • B. hasNotableAdaptationBy
    Indicates that an original work has a significant adaptation created by the specified adapting entity (such as a person, group, or organization).
  • C. laterTranslatedAs
    Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
  • D. adaptedAs chosen
    Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
  • E. hasEnglishName
    Indicates that an entity is associated with a name expressed in the English language.
  • F. None of above.

Provenance (4 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688bfc048190970d281e66c34cdc completed May 2, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69d960bb64ec8190bd0400cf0cc8b0a7 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:20 p.m.