Triple

T20207556
Position Surface form Disambiguated ID Type / Status
Subject Anthony Caruso E493391 entity
Predicate alsoKnownAs P39 FINISHED
Object Tony Caruso NE NERFINISHED

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: Tony Caruso | Statement: [Anthony Caruso, alsoKnownAs, Tony Caruso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Caruso
Context triple: [Anthony Caruso, alsoKnownAs, Tony Caruso]
  • A. Fred Caruso
    Fred Caruso is an American film producer best known for his work on David Lynch’s acclaimed neo-noir film "Blue Velvet."
  • B. Anthony Caruso chosen
    Anthony Caruso was an American character actor known for his frequent portrayals of gangsters and tough guys in mid-20th-century film and television.
  • C. Tony Siragusa
    Tony Siragusa was an American NFL defensive tackle and popular television personality best known for his role on the dominant Baltimore Ravens defense that won Super Bowl XXXV.
  • D. Tony Palermo
    Tony Palermo is an American drummer best known for his work with the rock band Papa Roach.
  • E. Tony DeMarco
    Tony DeMarco was an American professional boxer and former world welterweight champion known for his aggressive, crowd-pleasing fighting style during the 1950s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d934f808190bbfeb96f5bf2dfb9 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.