Triple

T15546232
Position Surface form Disambiguated ID Type / Status
Subject Irving Shapiro E370616 entity
Predicate name P16 FINISHED
Object Irving Shapiro 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: Irving Shapiro | Statement: [Irving Shapiro, name, Irving Shapiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irving Shapiro
Context triple: [Irving Shapiro, name, Irving Shapiro]
  • A. Irving Shapiro chosen
    Irving Shapiro was an influential American corporate executive and lawyer best known for leading DuPont and helping to shape modern U.S. business policy and corporate governance.
  • B. Stanley Shapiro
    Stanley Shapiro was an American screenwriter best known for his sharp comedic scripts in mid-20th-century Hollywood, including several hit romantic comedies.
  • C. Theodore Shapiro
    Theodore Shapiro is an American film composer known for his work on numerous Hollywood comedies and dramas, including scores for major studio films.
  • D. Irving Shulman
    Irving Shulman was an American author and screenwriter best known for his novel "The Amboy Dukes" and for adapting "Rebel Without a Cause" for film.
  • E. Harold A. Shapiro
    Harold A. Shapiro is a mathematician known for his contributions to approximation theory and numerical analysis, including coauthoring influential works with Philip J. Davis.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9073948190b6e9cf504aacc7cf completed April 16, 2026, 2:33 a.m.
Created at: April 10, 2026, 4:07 a.m.