Triple

T6019037
Position Surface form Disambiguated ID Type / Status
Subject Southland E134017 entity
Predicate mainCastMember P5563 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: [Southland, mainCastMember, Shawn Hatosy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawn Hatosy
Context triple: [Southland, mainCastMember, 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. Matthew Shafer
    Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
  • D. Matthew Shafer
    Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
  • E. 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.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8589d0819089ae7840461640f6 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108be2170819084b4b940e52b0185 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:07 p.m.