Triple

T14303541
Position Surface form Disambiguated ID Type / Status
Subject Chris Lemmon E354629 entity
Predicate notableWork P4 FINISHED
Object Wishmaster E389488 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: Wishmaster | Statement: [Chris Lemmon, notableWork, Wishmaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wishmaster
Context triple: [Chris Lemmon, notableWork, Wishmaster]
  • A. Wishmaster chosen
    Wishmaster is a 1997 horror film about an evil djinn unleashed from a gemstone, known for its imaginative kills and status as a cult favorite among genre fans.
  • B. The Wizard
    The Wizard is the enigmatic and ultimately humbug ruler of the Emerald City in L. Frank Baum’s classic tale "The Wizard of Oz."
  • C. The Wizard
    The Wizard is the famous nickname of Hall of Fame shortstop Ozzie Smith, renowned for his exceptional defensive skills and acrobatic plays in Major League Baseball.
  • D. The Wizard
    "The Wizard" is a song that appears as the B-side to the single released by the band Paranoid.
  • E. The Wizard and I
    "The Wizard and I" is a prominent solo number from the Broadway musical Wicked that introduces Elphaba’s hopes, ambitions, and belief that meeting the Wizard will change her life.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85afabe48190926d6098047f4bcf completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2a56a4819095b5c2164b1ad9fb completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:12 a.m.