Triple

T15632701
Position Surface form Disambiguated ID Type / Status
Subject Aidan Murphy E375855 entity
Predicate characterPortrayed P1507 FINISHED
Object Tommy Carcetti E375860 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: Tommy Carcetti | Statement: [Aidan Murphy, characterPortrayed, Tommy Carcetti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Carcetti
Context triple: [Aidan Murphy, characterPortrayed, Tommy Carcetti]
  • A. Tommy Carcetti chosen
    Tommy Carcetti is a fictional ambitious Baltimore politician who rises from city councilman to mayor in the television series "The Wire."
  • B. Carmine Polito
    Carmine Polito is a fictional New Jersey politician portrayed by Jeremy Renner in the crime comedy-drama film "American Hustle."
  • C. Giuseppe Castellano
    Giuseppe Castellano was an Italian general best known for negotiating and signing the 1943 armistice that led to Italy’s surrender to the Allies in World War II.
  • D. Richard Castellano
    Richard Castellano was an American actor best known for his Oscar-nominated role as Peter Clemenza in the classic crime film "The Godfather."
  • E. Rudy Ricciotti
    Rudy Ricciotti is a prominent French architect known for his innovative use of concrete and for designing major cultural buildings such as the MuCEM in Marseille.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f472b648190b7cd532a1b16373e completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.