Triple

T8153558
Position Surface form Disambiguated ID Type / Status
Subject The Tall Guy E190387 entity
Predicate editedBy P1954 FINISHED
Object Peter Hollywood E378413 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: Peter Hollywood | Statement: [The Tall Guy, editedBy, Peter Hollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Hollywood
Context triple: [The Tall Guy, editedBy, Peter Hollywood]
  • A. Peter Hollywood chosen
    Peter Hollywood is an editor known for his work on editions of classic fantastical literature, including "The Adventures of Baron Munchausen."
  • B. Michael Gunton
    Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
  • C. Jerry O’Malley
    Jerry O’Malley is a minor character in the television series "Grey’s Anatomy," known primarily as the father of surgical resident George O’Malley.
  • D. Rocco DiSpirito
    Rocco DiSpirito is an American chef, restaurateur, and television personality known for his cookbooks and appearances on various food and reality TV shows.
  • E. Christopher Bertolini
    Christopher Bertolini is an American screenwriter best known for his work on films such as "The General’s Daughter" and the war drama "The Tomorrow War."
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d566b08190a6bb672f9c368806 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf0518688190b519fbe1823b95c2 completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.