Triple

T23412804
Position Surface form Disambiguated ID Type / Status
Subject Lucas Casillas Carbonero E560122 entity
Predicate givenName P17 FINISHED
Object Lucas 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: Lucas | Statement: [Lucas Casillas Carbonero, givenName, Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucas
Context triple: [Lucas Casillas Carbonero, givenName, Lucas]
  • A. Lucas
    Lucas is the surname of George Lucas, the influential American filmmaker best known as the creator of the Star Wars and Indiana Jones franchises.
  • B. Lucas
    Lucas is a prominent former player for the Ohio State Buckeyes men's basketball program, recognized as one of the team's standout athletes.
  • C. Lucas chosen
    Lucas is the Latin form of the name Luke, traditionally associated with St. Luke the Evangelist in Christian tradition.
  • D. Lucas
    "Lucas" is a large-scale photorealistic portrait painting by American artist Chuck Close, exemplifying his meticulous, grid-based technique.
  • E. Lucas
    Lucas is a party involved in the landmark U.S. Supreme Court case Lucas v. Forty-Fourth General Assembly of Colorado, which addressed legislative apportionment and voting rights.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a5124a54819087a7ae2f8a5b3dc0 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:39 p.m.