Triple

T3994682
Position Surface form Disambiguated ID Type / Status
Subject Blansky's Beauties E87071 entity
Predicate starred P5563 FINISHED
Object Eddie Mekka E390552 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: Eddie Mekka | Statement: [Blansky's Beauties, starred, Eddie Mekka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eddie Mekka
Context triple: [Blansky's Beauties, starred, Eddie Mekka]
  • A. Eddie Mekka chosen
    Eddie Mekka was an American actor best known for his role as Carmine "The Big Ragu" Ragusa on the popular sitcom *Laverne & Shirley*.
  • B. Eddie Spears
    Eddie Spears is a Native American actor known for his roles in film and television, particularly in Western and Indigenous-themed productions.
  • C. Eddie Brinkman
    Eddie Brinkman was an American Major League Baseball shortstop known primarily for his strong defensive play during the 1960s and early 1970s.
  • D. Eddie Kaspbrak
    Eddie Kaspbrak is a hypochondriac yet brave member of the Losers' Club in Stephen King's horror novel "It," known for his overbearing mother and eventual courage in confronting the entity terrorizing Derry.
  • E. Jerry Seeman
    Jerry Seeman was a prominent NFL official who served as a referee in multiple Super Bowls and later became the league’s Director of Officiating.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa1f0fb88190aafbfdc98bc8652d completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403c703081908070625ebfb6fb5f completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:34 p.m.