Triple

T16810616
Position Surface form Disambiguated ID Type / Status
Subject Suburban Commando E408597 entity
Predicate starring P1507 FINISHED
Object Larry Miller E341034 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: Larry Miller | Statement: [Suburban Commando, starring, Larry Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Miller
Context triple: [Suburban Commando, starring, Larry Miller]
  • A. Larry Miller chosen
    Larry Miller is an American character actor and comedian known for his supporting roles in numerous film comedies and television shows.
  • B. Larry H. Miller
    Larry H. Miller was an American businessman and philanthropist best known for building a large automotive and sports empire and long serving as the influential owner of the NBA’s Utah Jazz.
  • C. Harry Lampert
    Harry Lampert was an American cartoonist and illustrator best known for co-creating the DC Comics superhero the Flash.
  • D. John Whitesell
    John Whitesell is an American television and film director and producer known for his work on various TV series and feature comedies.
  • E. Carl H. Lindner Jr.
    Carl H. Lindner Jr. was an American businessman and philanthropist from Cincinnati, known for building a business empire in insurance, finance, and food services and for his substantial charitable contributions.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cf680c8190bcd640570c524918 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b290d8e4819082880444b42ffa43 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.