Triple

T5264412
Position Surface form Disambiguated ID Type / Status
Subject Joe Keery E118903 entity
Predicate hasRole P161 FINISHED
Object Steve Harrington E112808 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: Steve Harrington | Statement: [Joe Keery, hasRole, Steve Harrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Harrington
Context triple: [Joe Keery, hasRole, Steve Harrington]
  • A. Steve Harrington chosen
    Steve Harrington is a popular character from the Netflix series "Stranger Things," known for his evolution from a self-absorbed high school student to a brave, caring protector of the younger kids.
  • B. Jeff Winger
    Jeff Winger is the charming, sarcastic former lawyer and de facto leader of the study group in the sitcom "Community."
  • C. Tim Green
    Tim Green is an American musician and producer best known as a guitarist in the instrumental rock band The Fucking Champs and for his work in the underground rock scene.
  • D. Owen Hunt
    Owen Hunt is a fictional trauma surgeon and former U.S. Army veteran on the television series Grey’s Anatomy, known for his complex relationships and struggles with PTSD.
  • E. Logan Green
    Logan Green is an American entrepreneur best known as the co-founder and former CEO of the ride-sharing company Lyft.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd4a9888190a79ef8e64c764f86 completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06c71d308190a42a2da51b4cf93e completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:51 p.m.