Triple

T9870522
Position Surface form Disambiguated ID Type / Status
Subject Beverly D’Angelo E239943 entity
Predicate child P120 FINISHED
Object Anton Pacino E57786 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: Anton Pacino | Statement: [Beverly D’Angelo, child, Anton Pacino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anton Pacino
Context triple: [Beverly D’Angelo, child, Anton Pacino]
  • A. Quai Papacino
    Quai Papacino is a waterfront quay in the Port of Nice on the French Riviera, known for its moored boats and proximity to the city’s historic center.
  • B. Armand Assante
    Armand Assante is an American actor known for his intense screen presence and roles in crime dramas and historical films.
  • C. Josie James Caan
    Josie James Caan is the daughter of American actor Scott Caan and his partner Kacy Byxbee.
  • D. Al Pacino chosen
    Al Pacino is an acclaimed American actor known for his intense, charismatic performances in classic films such as The Godfather series, Scarface, and Scent of a Woman.
  • E. Alex Rocco
    Alex Rocco was an American actor best known for his tough-guy roles in films like "The Godfather" and for his distinctive gravelly voice in both live-action and animated works.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d62628819094786a49b9bcd09b completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e468630c81908d5c72f70e2c6fe4 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:36 p.m.