Triple

T15905155
Position Surface form Disambiguated ID Type / Status
Subject Elanor E385692 entity
Predicate influences P9 FINISHED
Object Luke Shapiro E430180 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: Luke Shapiro | Statement: [Elanor, influences, Luke Shapiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luke Shapiro
Context triple: [Elanor, influences, Luke Shapiro]
  • A. Luke Shapiro chosen
    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.
  • B. Jacob Shapiro
    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.
  • C. Jonathan Shapiro
    Jonathan Shapiro is a television writer and producer best known for co-creating the legal drama series "Goliath."
  • D. Alex Shulman
    Alex Shulman is a person notable enough to be recognized as a bearer of the surname Shulman, though specific widely known biographical details are not clearly established.
  • E. Dan Shulman
    Dan Shulman is a Canadian sportscaster best known for his long-running play-by-play work on Major League Baseball and college basketball broadcasts for ESPN and other networks.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565956588190ba4726a2879b677d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d232074819083f58de3ee5fbf7d completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 4:52 a.m.