Triple

T6533991
Position Surface form Disambiguated ID Type / Status
Subject Marcel Pagnol E152303 entity
Predicate notableWork P4 FINISHED
Object Fanny E236632 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: Fanny | Statement: [Marcel Pagnol, notableWork, Fanny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fanny
Context triple: [Marcel Pagnol, notableWork, Fanny]
  • A. Fanny
    Fanny is one of the central child protagonists in Enid Blyton’s classic fantasy series "The Magic Faraway Tree," known for her adventurous spirit and explorations of the magical lands at the top of the tree.
  • B. Fanny chosen
    Fanny is a 1961 romantic drama film adaptation of Marcel Pagnol’s works, best known for starring French actress Leslie Caron.
  • C. Fanny
    Fanny is a feminine given name commonly used in various European and English-speaking countries.
  • D. Fanny Aubrey
    Fanny Aubrey is a fictional daughter of Royal Navy captain Jack Aubrey in Patrick O’Brian’s Aubrey–Maturin historical novel series.
  • E. Fanny Dashwood
    Fanny Dashwood is a selfish and manipulative character in Jane Austen's novel "Sense and Sensibility," known for her greed and unkind treatment of her in-laws.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adbf3a748190b0fb52122faaf6d3 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb8041d081909cd64dab7ccbd035 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:46 p.m.