Triple

T14464639
Position Surface form Disambiguated ID Type / Status
Subject Generator Rex E358673 entity
Predicate leadVoiceActor P9616 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: [Generator Rex, leadVoiceActor, Daryl Sabara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daryl Sabara
Context triple: [Generator Rex, leadVoiceActor, 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. Tom Dula
    Tom Dula was a North Carolina man whose 1868 execution for the murder of Laura Foster inspired the famous American folk ballad "Tom Dooley."
  • C. Michael Sembello
    Michael Sembello is an American singer, songwriter, and musician best known for his 1983 hit single "Maniac" from the film Flashdance.
  • D. David Pajo
    David Pajo is an American guitarist and songwriter best known for his influential work in the pioneering post-rock band Slint and for his diverse solo and collaborative projects across indie and experimental music.
  • E. 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.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91ad67bc81908ecdaa7262f6dc55 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d8ae5508190aea1cab0b059f804 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:19 a.m.