Triple

T9648079
Position Surface form Disambiguated ID Type / Status
Subject Louis Buchalter E233257 entity
Predicate associatedWith P37 FINISHED
Object Jacob Shapiro E570715 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: Jacob Shapiro | Statement: [Louis Buchalter, associatedWith, Jacob Shapiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacob Shapiro
Context triple: [Louis Buchalter, associatedWith, Jacob Shapiro]
  • A. Jacob Shapiro chosen
    Jacob "Gurrah" Shapiro was a prominent New York mobster and labor racketeer in the early 20th century, closely linked to organized crime figures such as Lepke Buchalter.
  • B. Luke Shapiro
    Luke Shapiro is the teenage marijuana dealer and emotionally troubled protagonist of the coming-of-age film "The Wackness," set in 1990s New York City.
  • C. Allen Shapiro
    Allen Shapiro is an American entertainment executive and film producer known for his work on projects such as the Western film "The Quick and the Dead."
  • D. Jonathan Shapiro
    Jonathan Shapiro is a television writer and producer best known for co-creating the legal drama series "Goliath."
  • E. Greg Shapiro
    Greg Shapiro is an American film producer best known for his Academy Award-winning work on "The Hurt Locker" and other notable independent and studio films.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bac55b48190ab2a8f9bb83c951e completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18262dc50819089cfc17c770a1a90 completed April 4, 2026, 9:28 p.m.
Created at: March 30, 2026, 8:13 p.m.