Triple

T20540988
Position Surface form Disambiguated ID Type / Status
Subject Emily Davis E504331 entity
Predicate hasFriend P8712 FINISHED
Object Jessica Riley 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: Jessica Riley | Statement: [Emily Davis, hasFriend, Jessica Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Riley
Context triple: [Emily Davis, hasFriend, 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. Essie Davis
    Essie Davis is an Australian actress best known internationally for her acclaimed lead performance in the psychological horror film "The Babadook" and for her role in the television series "Miss Fisher's Murder Mysteries."
  • D. Laura Penn
    Laura Penn is known as the spouse of American screenwriter and director Zak Penn.
  • E. Pamela Rabe
    Pamela Rabe is an acclaimed Canadian-Australian actress and theatre director known for her powerful stage work and prominent roles in Australian film and television.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a29224f081908298d104161c5bb9 completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:37 a.m.