Triple

T5960541
Position Surface form Disambiguated ID Type / Status
Subject Letters from Iwo Jima E132624 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: [Letters from Iwo Jima, musicBy, Michael Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Stevens
Context triple: [Letters from Iwo Jima, 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039fd6dd48190a6020bef38b1be82 completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3e8f234819099336503a797e55b completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.