Triple

T4521544
Position Surface form Disambiguated ID Type / Status
Subject What Goes Around... Comes Around music video E103280 entity
Predicate featuresActor P15562 FINISHED
Object Shawn Hatosy E259267 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: Shawn Hatosy | Statement: [What Goes Around... Comes Around music video, featuresActor, Shawn Hatosy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawn Hatosy
Context triple: [What Goes Around... Comes Around music video, featuresActor, Shawn Hatosy]
  • A. Shawn Hatosy chosen
    Shawn Hatosy is an American actor known for his roles in films like "Alpha Dog" and the TV series "Animal Kingdom."
  • B. Shawn Matthews
    Shawn Matthews is a senior executive associated with the financial services firm Cantor Fitzgerald.
  • C. Kurt Egyiawan
    Kurt Egyiawan is a British-Nigerian actor known for his work in film, television, and theatre, including roles in projects such as "Beasts of No Nation" and "The Exorcist" TV series.
  • D. Shawn Marks
    Shawn Marks is an individual notable enough to be recognized as a namesake of the surname Marks, though specific widely known public details about him are not clearly established.
  • E. Shane Hurlbut
    Shane Hurlbut is an American cinematographer known for his work on major Hollywood films and his influential role in advancing digital cinematography techniques.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd574bd6908190b939d92b5809b101 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda43a82c08190b3d43efcee45a8ea completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:02 p.m.