Triple

T8952129
Position Surface form Disambiguated ID Type / Status
Subject Joe Manganiello E213377 entity
Predicate familyName P18 FINISHED
Object Manganiello E213377 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: Manganiello | Statement: [Joe Manganiello, familyName, Manganiello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manganiello
Context triple: [Joe Manganiello, familyName, Manganiello]
  • A. Favino
    Favino is an Italian surname most notably borne by acclaimed actor Pierfrancesco Favino.
  • B. Joe Manganiello chosen
    Joe Manganiello is an American actor known for roles in projects like "True Blood," "Magic Mike," and various action films.
  • C. Carmine Rocco
    Carmine Rocco was an Italian Roman Catholic prelate and Vatican diplomat who served as an apostolic nuncio in several countries during the 20th century.
  • D. James Marcello
    James Marcello is an American mobster who served as a high-ranking boss of the Chicago Outfit and was convicted in the landmark "Family Secrets" federal racketeering case.
  • E. Michael Gandolfini
    Michael Gandolfini is an American actor known for portraying a young Tony Soprano in the film "The Many Saints of Newark."
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670dc0c88190b1f59e96ad88e4ee completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc20a5ab481909e10f3abf679ec4c completed April 3, 2026, 1:35 p.m.
Created at: March 30, 2026, 6:59 p.m.