Triple

T5319646
Position Surface form Disambiguated ID Type / Status
Subject Crank E121639 entity
Predicate character P662 FINISHED
Object Eve Lydon E337507 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: Eve Lydon | Statement: [Crank, character, Eve Lydon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eve Lydon
Context triple: [Crank, character, Eve Lydon]
  • A. Eve Lydon chosen
    Eve Lydon is a supporting character in the action film "Crank: High Voltage," involved in the chaotic, high-energy world surrounding protagonist Chev Chelios.
  • B. Lynne Hollander
    Lynne Hollander is an American activist best known for her involvement in the 1960s Free Speech Movement at UC Berkeley and her longtime partnership with fellow activist Mario Savio.
  • C. Audrey Bilger
    Audrey Bilger is an American academic and administrator who serves as the president of Reed College in Portland, Oregon.
  • D. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • E. Barbara Bosson
    Barbara Bosson was an American actress best known for her Emmy-nominated role as Fay Furillo on the groundbreaking police drama "Hill Street Blues."
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855407048190bcdb97c7098cc2aa completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21b8692881908f04d8cfd7d3d10d completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:59 p.m.