Triple

T10224049
Position Surface form Disambiguated ID Type / Status
Subject Patrick Kenzie E242654 entity
Predicate hasColleague P398 FINISHED
Object Angela Gennaro E248773 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: Angela Gennaro | Statement: [Patrick Kenzie, hasColleague, Angela Gennaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angela Gennaro
Context triple: [Patrick Kenzie, hasColleague, Angela Gennaro]
  • A. Angie Gennaro chosen
    Angie Gennaro is a private investigator and key protagonist in Dennis Lehane’s crime novel series, notably featured in "Gone Baby Gone."
  • B. Angela Alioto
    Angela Alioto is an American attorney, civil rights advocate, and former president of the San Francisco Board of Supervisors who has been a prominent figure in the city’s politics.
  • C. Angie Boselli
    Angie Boselli is known as the wife of former NFL offensive tackle and Hall of Famer Tony Boselli and is involved in various family and community activities.
  • D. Maureen Angelos
    Maureen Angelos is an American writer, performer, and theater artist best known as a founding member of the feminist queer theater collective The Five Lesbian Brothers.
  • E. Gina Girolamo
    Gina Girolamo is a television producer best known for her executive production work on the post-apocalyptic drama series "The 100."
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa84a9ac819093d551005a1c8f3d completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d71c8511008190a30008ed32a983d1 completed April 9, 2026, 3:27 a.m.
Created at: April 6, 2026, 11:11 a.m.