Triple

T14878389
Position Surface form Disambiguated ID Type / Status
Subject Greg Germann E349927 entity
Predicate characterRole P268 FINISHED
Object Tom Koracick E686131 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: Tom Koracick | Statement: [Greg Germann, characterRole, Tom Koracick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Koracick
Context triple: [Greg Germann, characterRole, Tom Koracick]
  • A. Tom Koracick chosen
    Tom Koracick is a brilliant but arrogant neurosurgeon on the television series "Grey's Anatomy," known for his sharp wit and complex personal relationships.
  • B. Michael Kuzak
    Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
  • C. Brad Goreski
    Brad Goreski is a Canadian-American celebrity fashion stylist and television personality known for his sharp red-carpet commentary and appearances on style-focused TV shows.
  • D. John Miljan
    John Miljan was an American film actor known for his prolific career in early Hollywood, often portraying suave villains and authority figures in silent and sound films.
  • E. Vince Korsak
    Vince Korsak is a seasoned Boston police detective and loyal member of the homicide team in the TV series "Rizzoli & Isles."
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e4e4448190a8796573bc6d1069 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7d554808190a0a87d9f5e225d31 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 1:55 a.m.