Triple

T21282280
Position Surface form Disambiguated ID Type / Status
Subject Justice League: Warworld E524554 entity
Predicate featuresVoiceActor P39669 FINISHED
Object Teddy Sears 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: Teddy Sears | Statement: [Justice League: Warworld, featuresVoiceActor, Teddy Sears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teddy Sears
Context triple: [Justice League: Warworld, featuresVoiceActor, Teddy Sears]
  • A. Teddy Sears chosen
    Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
  • B. Teddy Bass
    Teddy Bass is a ruthless and manipulative London crime boss in the British gangster film "Sexy Beast."
  • C. Teddy Reig
    Teddy Reig was an American jazz record producer best known for his influential work with bebop and swing musicians in the mid-20th century.
  • D. Teddy Verseti
    Teddy Verseti is a hip-hop artist best known for his guest verse on Chrisette Michele’s song “Epiphany (I’m Leaving).”
  • E. Teddy Stauffer
    Teddy Stauffer was a Swiss-born bandleader and musician, prominent in the swing era and later active in the entertainment and hospitality industries.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d249fc8190b0b310467ddeac3c completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:02 p.m.