Triple

T3462970
Position Surface form Disambiguated ID Type / Status
Subject Juni Cortez E73070 entity
Predicate portrayedBy P1507 FINISHED
Object Daryl Sabara E73071 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: Daryl Sabara | Statement: [Juni Cortez, portrayedBy, Daryl Sabara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daryl Sabara
Context triple: [Juni Cortez, portrayedBy, Daryl Sabara]
  • A. Daryl Sabara chosen
    Daryl Sabara is an American actor best known for playing Juni Cortez in the Spy Kids film series.
  • B. Paul Wall
    Paul Wall is an American rapper and DJ from Houston, Texas, known for his Southern hip hop style and association with the city’s chopped and screwed scene.
  • C. Craig Bierko
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • D. Mike Elizondo
    Mike Elizondo is an American producer, songwriter, and multi-instrumentalist known for his work across hip-hop, pop, and rock with artists such as Dr. Dre, Eminem, and Fiona Apple.
  • E. Robby Mook
    Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb0b73f481908c9f8d2b9b9bbbaf completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3612392308190b73dc2c757d02742 completed March 13, 2026, 12:58 a.m.
Created at: March 8, 2026, 3:17 p.m.