Triple

T12928028
Position Surface form Disambiguated ID Type / Status
Subject Jim Lake Jr. E309296 entity
Predicate friend P8712 FINISHED
Object Claire Nuñez E1028462 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: Claire Nuñez | Statement: [Jim Lake Jr., friend, Claire Nuñez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Nuñez
Context triple: [Jim Lake Jr., friend, Claire Nuñez]
  • A. Claire Nuñez chosen
    Claire Nuñez is a brave, magic-wielding teenager from the Tales of Arcadia animated franchise who becomes a key member of the heroes fighting supernatural threats.
  • B. Daphne Zuniga
    Daphne Zuniga is an American actress best known for her roles in the sci-fi parody film "Spaceballs" and the television series "Melrose Place."
  • C. Celia Báez
    Celia Báez is known as the spouse of Juan Sotomayor, a public figure.
  • D. Gina Cuevas
    Gina Cuevas is a fictional character appearing in the American medical drama television series "Nurses."
  • E. Natalie Mendoza
    Natalie Mendoza is an Australian-British actress and singer best known for originating the role of Satine in the Broadway production of Moulin Rouge! The Musical and for her work in film and television, including the horror film "The Descent."
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a1ee5d08190ace265c5f15d8d30 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 5:42 p.m.