Triple

T16041933
Position Surface form Disambiguated ID Type / Status
Subject Joe Andruzzi E389117 entity
Predicate hasSibling P363 FINISHED
Object Jimmy Andruzzi E1192759 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: Jimmy Andruzzi | Statement: [Joe Andruzzi, hasSibling, Jimmy Andruzzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Andruzzi
Context triple: [Joe Andruzzi, hasSibling, Jimmy Andruzzi]
  • A. Joe Andruzzi
    Joe Andruzzi is a former American football offensive guard best known for his NFL career with the New England Patriots, where he won three Super Bowls.
  • B. Billy Andruzzi chosen
    Billy Andruzzi is known primarily as a member of the Andruzzi family, which includes former NFL offensive guard Joe Andruzzi.
  • C. Matt Bissonnette
    Matt Bissonnette is a Canadian filmmaker and writer known for directing independent feature films such as "Looking for Leonard" and "Passenger Side."
  • D. D.J. Cotrona
    D.J. Cotrona is an American actor best known for his roles in action and genre films and television series, including portraying Flint in the G.I. Joe franchise and superhero Freddy Freeman in "Shazam!".
  • E. Chris Boucher
    Chris Boucher is a British writer and television script editor best known for his work on science fiction series such as "Doctor Who," "Blake's 7," and "Star Cops."
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1834130208190a4ed1e4292b8f2df completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb893f988190a0693564bbe78ca1 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:56 a.m.