Triple

T17904420
Position Surface form Disambiguated ID Type / Status
Subject Jane Chapman E447663 entity
Predicate livesWith P4704 FINISHED
Object Ziggy Chapman E1186680 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: Ziggy Chapman | Statement: [Jane Chapman, livesWith, Ziggy Chapman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ziggy Chapman
Context triple: [Jane Chapman, livesWith, Ziggy Chapman]
  • A. Ziggy Chapman chosen
    Ziggy Chapman is a young boy character from the television series "Big Little Lies," known for being the son of Jane Chapman and a central figure in the show's schoolyard conflict.
  • B. Ziggy Siegfried
    Ziggy Siegfried is a collegiate sports administrator who serves as the athletic director for the Roadrunners athletic program.
  • C. Ziggy
    Ziggy is a long-running, wordless American comic strip featuring a bald, big-nosed everyman character who faces life’s small frustrations with gentle humor.
  • D. William Strummer Bissonnette
    William Strummer Bissonnette is the son of Canadian actress Molly Parker.
  • E. Pop Larkin
    Pop Larkin is the jovial, free-spirited patriarch of the Larkin family in H.E. Bates’s rural English stories, known for his carefree attitude, love of good living, and unconventional approach to work and money.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9a9cfc8190879fc36dfdeb562b completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03212921308190984eb0b2d90f3d11 completed May 12, 2026, 12:46 p.m.
Created at: April 10, 2026, 10:19 a.m.