Triple

T3929542
Position Surface form Disambiguated ID Type / Status
Subject Sapokanikan E93361 entity
Predicate hasProducer P30366 FINISHED
Object Noah Georgeson E99963 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: Noah Georgeson | Statement: [Sapokanikan, hasProducer, Noah Georgeson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noah Georgeson
Context triple: [Sapokanikan, hasProducer, Noah Georgeson]
  • A. Noah Georgeson chosen
    Noah Georgeson is an American record producer, musician, and mixer known for his work with indie and folk artists such as Joanna Newsom and Devendra Banhart.
  • B. Noah Glass
    Noah Glass is an American software developer and entrepreneur best known as one of the early co-founders who helped create and shape Twitter.
  • C. Noah Vosen
    Noah Vosen is a high-ranking, hardline CIA official and primary antagonist in the film "The Bourne Ultimatum," overseeing covert operations to eliminate Jason Bourne.
  • D. Ben Templesmith
    Ben Templesmith is an Australian comic book artist and writer best known for his distinctive, atmospheric horror artwork on titles such as "30 Days of Night" and "Fell."
  • E. Noah Sorota
    Noah Sorota is a film and television composer best known for scoring the science-fiction series "Falling Skies."
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda65b708190b24cd715915aec1d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53387775881909479f4e1fcecdaca completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:23 p.m.