Triple

T13791799
Position Surface form Disambiguated ID Type / Status
Subject 10 Things I Hate About You E331415 entity
Predicate editedBy P1954 FINISHED
Object O. Nicholas Brown E147538 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: O. Nicholas Brown | Statement: [10 Things I Hate About You, editedBy, O. Nicholas Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O. Nicholas Brown
Context triple: [10 Things I Hate About You, editedBy, O. Nicholas Brown]
  • A. O. Nicholas Brown chosen
    O. Nicholas Brown is an editor known for his work on the publication titled "The Accused."
  • B. Nicholas Edward Brown
    Nicholas Edward Brown was a British botanist known for his extensive work on succulent plants and contributions to the taxonomy of the Aizoaceae family.
  • C. Nicholas Brown Jr.
    Nicholas Brown Jr. was an American merchant, philanthropist, and namesake benefactor of Brown University in Providence, Rhode Island.
  • D. Jonathan Brown
    Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
  • E. Jonathan Brown
    Jonathan Brown is an individual known primarily as the son of Mr. Brown.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0817bd88190a46e539f2ff24d83 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.