Triple

T7497841
Position Surface form Disambiguated ID Type / Status
Subject We Bought a Zoo E177177 entity
Predicate mainCharacter P1183 FINISHED
Object Benjamin Mee E669050 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: Benjamin Mee | Statement: [We Bought a Zoo, mainCharacter, Benjamin Mee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin Mee
Context triple: [We Bought a Zoo, mainCharacter, Benjamin Mee]
  • A. Benjamin Mee chosen
    Benjamin Mee is a British writer and former journalist best known for his memoir about buying and restoring a dilapidated zoo, which inspired the film "We Bought a Zoo."
  • B. Piers Torday
    Piers Torday is a British children's author best known for his award-winning fantasy series "The Last Wild."
  • C. Carl Bennett
    Carl Bennett was an American basketball coach and executive best known for his leadership role with the Fort Wayne Zollner Pistons franchise in its early professional years.
  • D. Iain Farrington
    Iain Farrington is a British pianist, organist, composer, and arranger known for his versatile work across classical and contemporary music, including high-profile national events.
  • E. Martin Sixsmith
    Martin Sixsmith is a British journalist, author, and former BBC correspondent known for his investigative writing, including the book that inspired the film "Philomena."
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5963d98819098275b161848d2d4 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c846043ed48190b6fa45ed0e70b4d3 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:44 p.m.