Triple

T18379262
Position Surface form Disambiguated ID Type / Status
Subject ...And Justice for All E446399 entity
Predicate starring P1507 FINISHED
Object Al Pacino NE NERFINISHED

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: Al Pacino | Statement: [...And Justice for All, starring, Al Pacino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Pacino
Context triple: [...And Justice for All, starring, Al Pacino]
  • A. 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.
  • B. Robert De Niro
    Robert De Niro is an acclaimed American actor and producer renowned for his intense, transformative performances in films such as "Taxi Driver," "Raging Bull," and "The Godfather Part II."
  • C. De Niro
    De Niro is a prominent Italian-American surname most famously associated with acclaimed actor Robert De Niro and his family.
  • D. Josie James Caan
    Josie James Caan is the daughter of American actor Scott Caan and his partner Kacy Byxbee.
  • E. Harvey Keitel
    Harvey Keitel is an American actor known for his intense, often morally complex roles in films by directors like Martin Scorsese and Quentin Tarantino, including classics such as "Mean Streets," "Taxi Driver," and "Reservoir Dogs."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51799e0f4819089e8af04888549bf completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.