Triple

T5984659
Position Surface form Disambiguated ID Type / Status
Subject Ato E133196 entity
Predicate hasCompanion P22642 FINISHED
Object Nik unclear NED1 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: Nik | Statement: [Ato, hasCompanion, Nik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nik
Context triple: [Ato, hasCompanion, Nik]
  • A. Nik
    Nik is one of the three futuristic, anime-style "Spheriks" characters that served as official mascots for the 2002 FIFA World Cup in South Korea and Japan.
  • B. Nic
    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.
  • C. Nic
    Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • D. Nick
    Nick is the given name of Nick Holonyak Jr., the American engineer and inventor widely known for creating the first practical visible-spectrum LED.
  • E. Nick
    Nick is one of the central characters in Edward Albee’s play "Who’s Afraid of Virginia Woolf?", a young biology professor whose tense interactions with an older couple expose themes of ambition, disillusionment, and marital conflict.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6dcaf08190bac27c7042e65e07 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e42a0fcc8190ab8d7f797b58a8e0 completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:04 p.m.