Triple

T14566842
Position Surface form Disambiguated ID Type / Status
Subject Thomas Stanley Holland E341805 entity
Predicate hasSibling P363 FINISHED
Object Sam Holland E341810 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: Sam Holland | Statement: [Thomas Stanley Holland, hasSibling, Sam Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Holland
Context triple: [Thomas Stanley Holland, hasSibling, Sam Holland]
  • A. Sam Holland chosen
    Sam Holland is a British actor and social media personality best known as one of Tom Holland’s younger brothers and for appearing in some of his projects and online content.
  • B. Steven Rogers
    Steven Rogers is an American screenwriter known for writing character-driven dramas and comedies, including the film "Hope Floats."
  • C. Philip Holland
    Philip Holland was an 18th-century English Presbyterian minister and educator known for his influential teaching and theological work associated with Warrington Academy.
  • D. Tim Quill
    Tim Quill was an American actor best known for his role as Pvt. Joe Beletsky in the Vietnam War film "Hamburger Hill."
  • E. Adam Holender
    Adam Holender is a Polish-born American cinematographer best known for shooting the influential 1969 film "Midnight Cowboy."
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac669cc819083e05620b1e8c370 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.