Triple

T10367794
Position Surface form Disambiguated ID Type / Status
Subject Human Traffic E244299 entity
Predicate editedBy P1954 FINISHED
Object Chris Lawrence E860614 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: Chris Lawrence | Statement: [Human Traffic, editedBy, Chris Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Lawrence
Context triple: [Human Traffic, editedBy, Chris Lawrence]
  • A. Chris Lawrence chosen
    Chris Lawrence is a film editor known for his work on the British cult movie "Human Traffic."
  • B. Allen Hoskins
    Allen Hoskins was an American child actor best known for his role as Farina in the early Our Gang (Little Rascals) comedy shorts.
  • C. Mike Richards
    Mike Richards is a Canadian former professional ice hockey centre best known for his Stanley Cup–winning tenure with the Los Angeles Kings and earlier success with the Philadelphia Flyers.
  • D. Darryl Hill
    Darryl Hill is an American rapper best known as Cappadonna, a longtime affiliate and later official member of the Wu-Tang Clan.
  • E. Darryl Hickman
    Darryl Hickman is an American former child actor and film and television performer known for roles in classic Hollywood films and later work as a television executive and acting coach.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb8e96e081908282bb0f82719abe completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, noon