Triple

T2360434
Position Surface form Disambiguated ID Type / Status
Subject Jett Lucas E47258 entity
Predicate givenName P17 FINISHED
Object Jett E47258 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: Jett | Statement: [Jett Lucas, givenName, Jett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jett
Context triple: [Jett Lucas, givenName, Jett]
  • A. Jett Lucas chosen
    Jett Lucas is the adopted son of filmmaker George Lucas, known for his occasional appearances in the Star Wars prequel films and involvement in related media.
  • B. Jesse
    Jesse is a figure in the Hebrew Bible best known as the father of King David and the ancestor from whose line the Davidic monarchy and, in Christian tradition, Jesus are said to descend.
  • C. Lester Freamon
    Lester Freamon is a meticulous, soft-spoken detective in the TV series "The Wire," renowned for his patience, investigative brilliance, and skill at unraveling complex financial and wiretap cases.
  • D. Jesse Mercer
    Jesse Mercer was a 19th-century Baptist minister, educator, and philanthropist who played a key role in advancing Baptist education in Georgia.
  • E. Doc Hudson
    Doc Hudson is a wise, retired race car and town doctor in Pixar's "Cars" who mentors the protagonist Lightning McQueen.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc722ac3c819091f4316a4a166a77 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea88cf3308190bdb5aac38aded823 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:55 p.m.