Triple

T19244983
Position Surface form Disambiguated ID Type / Status
Subject Curly Top E481226 entity
Predicate starring P1507 FINISHED
Object Etienne Girardot NE NERFINISHED

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: Etienne Girardot | Statement: [Curly Top, starring, Etienne Girardot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etienne Girardot
Context triple: [Curly Top, starring, Etienne Girardot]
  • A. Etienne Girardot chosen
    Etienne Girardot was a British-born character actor known for his comic and eccentric roles in early 20th-century American stage and film productions.
  • B. Hippolyte Girardot
    Hippolyte Girardot is a French actor and filmmaker known for his work in auteur cinema and television, frequently collaborating with prominent European directors.
  • C. Marc-Antoine Robert
    Marc-Antoine Robert is a French film producer known for his work on acclaimed contemporary cinema.
  • D. Benoît Gabriel
    Benoît Gabriel is a member of the notable Gabriel family of French architects, known for their influential contributions to classical architecture.
  • E. Pierre-Louis
    Pierre-Louis is a French given name commonly used as a compound first name in Francophone countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faf47820819081e8b6af852bb1dd completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:27 p.m.