Triple

T3261407
Position Surface form Disambiguated ID Type / Status
Subject Teresa Capone E68418 entity
Predicate name P16 FINISHED
Object Teresa Capone E68418 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: Teresa Capone | Statement: [Teresa Capone, name, Teresa Capone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teresa Capone
Context triple: [Teresa Capone, name, Teresa Capone]
  • A. Teresa Capone chosen
    Teresa Capone was the mother of notorious American gangster Al Capone and a key figure in his Italian immigrant family background.
  • B. Catherine Zaccaria
    Catherine Zaccaria was a 15th-century noblewoman, daughter of the last Latin ruler of the Principality of Achaea, who became Despotess of the Morea through her marriage into the Byzantine Palaiologos dynasty.
  • C. Carla Tortelli
    Carla Tortelli is a sharp-tongued, tough, and fiercely loyal waitress on the classic American sitcom "Cheers."
  • D. Caterina Murino
    Caterina Murino is an Italian actress and former model best known internationally for her role as Solange Dimitrios in the James Bond film "Casino Royale" (2006).
  • E. Donna Gigliotti
    Donna Gigliotti is an Academy Award–winning American film producer known for acclaimed works such as "Shakespeare in Love" and "Silver Linings Playbook."
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa7fea08190b089b6174fd7cd32 completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8369b708190aeddf21dd9440d6a completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.