Triple

T18762803
Position Surface form Disambiguated ID Type / Status
Subject Joni E458814 entity
Predicate hasParent P120 FINISHED
Object Nic 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: Nic | Statement: [Joni, hasParent, Nic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nic
Context triple: [Joni, hasParent, Nic]
  • A. Nic chosen
    Nic is one of the two lesbian mothers in the film "The Kids Are All Right," portrayed as a responsible, controlling physician whose family life is disrupted when her children seek out their sperm-donor father.
  • B. Nic
    Nic is the central protagonist of the novel "The Spare Room," around whom the story’s emotional and narrative developments revolve.
  • C. Nic
    Nic is an individual known primarily as the biological child of Paul.
  • D. Nic
    Nic is a short given name or nickname commonly used for people named Nicholas, Nicola, or similar names.
  • E. Nic
    Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d80a954819083946dafc0c7af05 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.