Triple

T15646982
Position Surface form Disambiguated ID Type / Status
Subject Rachel Keller E376204 entity
Predicate notableWork P4 FINISHED
Object Legion (TV series) E443040 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: Legion (TV series) | Statement: [Rachel Keller, notableWork, Legion (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legion (TV series)
Context triple: [Rachel Keller, notableWork, Legion (TV series)]
  • A. Legion (TV series) chosen
    Legion is a visually inventive and psychologically complex Marvel-based television series that follows David Haller, a powerful mutant struggling with mental illness and reality-bending abilities.
  • B. Legion
    Legion is the nickname of Birmingham Legion FC, a professional soccer club based in Birmingham, Alabama, competing in the USL Championship.
  • C. Legion
    Legion is Lenovo's gaming-focused brand of high-performance laptops, desktops, and related PC hardware.
  • D. Legion
    Legion is a powerful extraterrestrial kaiju from the Gamera film series, known for its insect-like appearance and role as one of Gamera’s most formidable adversaries.
  • E. Legion
    Legion is a 1983 horror novel by William Peter Blatty that serves as a philosophical and supernatural sequel to The Exorcist, following Lieutenant Kinderman as he investigates a series of bizarre murders.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67936e388190913c9060194e5b53 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.