Triple

T3781240
Position Surface form Disambiguated ID Type / Status
Subject Joshua Washington E85420 entity
Predicate friend P8712 FINISHED
Object Jessica Riley E412005 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: Jessica Riley | Statement: [Joshua Washington, friend, Jessica Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Riley
Context triple: [Joshua Washington, friend, Jessica Riley]
  • A. Jessica Riley chosen
    Jessica Riley is a flirtatious and popular teenager who is one of the playable protagonists in the horror video game Until Dawn.
  • B. Tamsin Greig
    Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
  • C. Anne-Marie Duff
    Anne-Marie Duff is an acclaimed English actress known for her powerful performances in television dramas such as "Shameless" and "The Virgin Queen," as well as in film and theatre.
  • D. Michelle Gomez
    Michelle Gomez is a Scottish actress best known for her darkly comedic and villainous roles in television series such as Doctor Who and The Chilling Adventures of Sabrina.
  • E. Ruth Wilson
    Ruth Wilson is an acclaimed English actress known for her versatile performances in film, television, and theatre, including prominent roles in series like "Luther" and "The Affair."
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3d98b38819094df9569b549124f completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5768163948190abd1075a20e4706d completed March 14, 2026, 2:53 p.m.
Created at: March 9, 2026, 3:12 p.m.