Triple

T5532771
Position Surface form Disambiguated ID Type / Status
Subject Gran Torino E145087 entity
Predicate musicBy P1952 FINISHED
Object Michael Stevens E197791 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: Michael Stevens | Statement: [Gran Torino, musicBy, Michael Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Stevens
Context triple: [Gran Torino, musicBy, Michael Stevens]
  • A. Michael Stevens chosen
    Michael Stevens is an American composer and musician best known for co-composing the score to the film "Invictus" alongside Kyle Eastwood.
  • B. Steve Kipner
    Steve Kipner is an Australian-American songwriter and producer best known for co-writing major pop hits such as Christina Aguilera’s “Genie in a Bottle.”
  • C. Dr. Steve-O
    Dr. Steve-O is a reality TV series starring stunt performer Steve-O, featuring outrageous pranks and challenges in the comedic, shock-value style of the Jackass franchise.
  • D. Andy Nye
    Andy Nye is an individual associated with Asia, likely as a member or representative within an Asian organization, group, or context.
  • E. Ben Silbermann
    Ben Silbermann is an American entrepreneur best known as the co-founder and former CEO of the visual discovery platform Pinterest.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9ea2c88190a68642f5799bd8ff completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028094fa48190a1f48779a7963af9 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:34 p.m.