Triple

T8498646
Position Surface form Disambiguated ID Type / Status
Subject Isabel Lahiri E201159 entity
Predicate hasFormerLover P64436 FINISHED
Object Rusty Ryan E201157 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: Rusty Ryan | Statement: [Isabel Lahiri, hasFormerLover, Rusty Ryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rusty Ryan
Context triple: [Isabel Lahiri, hasFormerLover, Rusty Ryan]
  • A. Rusty Ryan chosen
    Rusty Ryan is a suave, quick-witted con man and Danny Ocean’s right-hand man in the Ocean’s film series, portrayed by Brad Pitt.
  • B. Rusty Egan
    Rusty Egan is a British musician, DJ, and producer best known for helping pioneer the New Romantic club scene in late 1970s and early 1980s London.
  • C. Rusty Gage
    Rusty Gage is a prominent American neuroscientist known for his groundbreaking work on adult neurogenesis and the brain’s capacity to generate new neurons throughout life.
  • D. Rusty Sabich
    Rusty Sabich is a fictional prosecutor whose entanglement in a complex murder investigation drives the legal and psychological drama of Scott Turow’s novel "Presumed Innocent."
  • E. Chips Rafferty
    Chips Rafferty was a prominent Australian actor known for his rugged, laconic screen persona and key roles in mid-20th-century Australian cinema.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe583aebc819090345684bfa1fca2 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8411e148190a700dae3d3ebd716 completed April 2, 2026, 5:32 p.m.
Created at: March 30, 2026, 6:14 p.m.