Triple

T20701850
Position Surface form Disambiguated ID Type / Status
Subject The Girl Next Door E508803 entity
Predicate director P255 FINISHED
Object Luke Greenfield NE NERFINISHED

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: Luke Greenfield | Statement: [The Girl Next Door, director, Luke Greenfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luke Greenfield
Context triple: [The Girl Next Door, director, Luke Greenfield]
  • A. Luke Greenfield chosen
    Luke Greenfield is an American film director and producer best known for directing comedies such as "The Girl Next Door" and "Let's Be Cops."
  • B. Mart Green
    Mart Green is an American businessman and Christian philanthropist best known as the founder of Mardel Christian & Education and the son of Hobby Lobby founder David Green.
  • C. Devlin Elliott
    Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
  • D. Mark Greene
    Mark Greene is a central fictional emergency physician and one of the original main characters on the television series "ER."
  • E. Chuck Green
    Chuck Green was an influential American tap dancer and innovator whose rhythmic style and artistry helped shape modern tap and inspired later stars like Savion Glover.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18cb9cc819095d0669dca037424 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:12 p.m.