Triple

T15368350
Position Surface form Disambiguated ID Type / Status
Subject Empire State E367473 entity
Predicate starring P1507 FINISHED
Object Chris Diamantopoulos E452271 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: Chris Diamantopoulos | Statement: [Empire State, starring, Chris Diamantopoulos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Diamantopoulos
Context triple: [Empire State, starring, Chris Diamantopoulos]
  • A. Chris Diamantopoulos chosen
    Chris Diamantopoulos is a Canadian actor known for his versatile work in television, film, and voice acting, including roles in series like "Silicon Valley" and as the voice of Mickey Mouse.
  • B. Louis Mellis
    Louis Mellis is a British screenwriter best known for co-writing the acclaimed crime film "Sexy Beast."
  • C. Mike Kellin
    Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
  • D. Michael Sembello
    Michael Sembello is an American singer, songwriter, and musician best known for his 1983 hit single "Maniac" from the film Flashdance.
  • E. Nick Patsaouras
    Nick Patsaouras is a Greek-American engineer and public transportation advocate known for his influential role in shaping transit policy and infrastructure in Los Angeles.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b50703881909ca71c985bc1c7b5 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.