Triple

T14218693
Position Surface form Disambiguated ID Type / Status
Subject The Righteous E352427 entity
Predicate director P255 FINISHED
Object Mark O'Brien E71143 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: Mark O'Brien | Statement: [The Righteous, director, Mark O'Brien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark O'Brien
Context triple: [The Righteous, director, Mark O'Brien]
  • A. Mark O'Brien chosen
    Mark O'Brien is an American actor best known for his roles in television series such as City on a Hill and Halt and Catch Fire, as well as various film and independent projects.
  • B. Mark O’Brien
    Mark O’Brien is an American local politician who has served as the mayor of Augusta, Maine.
  • C. Stephen Gleason
    Stephen Gleason is an individual notable enough to be specifically distinguished as a bearer of the surname Gleason.
  • D. Daniel Lavoie
    Daniel Lavoie is a Canadian singer-songwriter, actor, and composer known for his successful music career and his prominent role in the musical "Notre-Dame de Paris."
  • E. Marcus Browne
    Marcus Browne is an American professional boxer and former interim light heavyweight world champion known for his technical southpaw style.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0cb3f88190813542f95ee360bf completed May 8, 2026, 1:31 a.m.
Created at: April 10, 2026, 1:06 a.m.