Triple

T4488784
Position Surface form Disambiguated ID Type / Status
Subject Sekai Holland E107315 entity
Predicate spouse P13 FINISHED
Object Jim Holland E107315 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: Jim Holland | Statement: [Sekai Holland, spouse, Jim Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Holland
Context triple: [Sekai Holland, spouse, Jim Holland]
  • A. Jim Holland chosen
    Jim Holland is the husband of Zimbabwean politician and human rights activist Sekai Holland.
  • B. William Nolan
    William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
  • C. Matt Bondurant
    Matt Bondurant is an American novelist and academic best known for his historical crime novel "The Wettest County in the World," which was adapted into the film "Lawless."
  • D. John Alderman
    John Alderman was a Native American allied with the English colonists who became historically known for killing the Wampanoag leader Metacomet (King Philip) during King Philip’s War.
  • E. H. Russel Holland
    H. Russel Holland is a senior United States federal judge known for his long tenure on the bench of the District of Alaska.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52ad36748190b791de458f2116b2 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67a90f308190ab4f912cd1e2f692 completed March 20, 2026, 3:28 p.m.
Created at: March 20, 2026, 12:59 p.m.