Triple

T9237993
Position Surface form Disambiguated ID Type / Status
Subject Office Christmas Party E221984 entity
Predicate director P255 FINISHED
Object Josh Gordon E372929 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: Josh Gordon | Statement: [Office Christmas Party, director, Josh Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Gordon
Context triple: [Office Christmas Party, director, Josh Gordon]
  • A. Josh Gordon chosen
    Josh Gordon is an American film director, screenwriter, and producer best known for co-directing the comedy "Blades of Glory" and other mainstream Hollywood comedies.
  • B. Ja'Marr Anthony Chase
    Ja'Marr Anthony Chase is an American football wide receiver for the Cincinnati Bengals in the NFL, known for his explosive playmaking and Pro Bowl-caliber performances.
  • C. Antoine Harris
    Antoine Harris is an American actor best known for his role in the television series "The Breaks."
  • D. Landon Brown
    Landon Brown is an American television personality and the son of singer Bobby Brown, known for his appearances on reality shows about his family.
  • E. Josh Cribbs
    Josh Cribbs is a former NFL wide receiver and return specialist best known for his record-setting kick return performances with the Cleveland Browns.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09f9e908190801fe114c5e63984 completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077d4c4a881909c80176ddf5101a4 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:30 p.m.