Triple

T4488780
Position Surface form Disambiguated ID Type / Status
Subject Jim Holland E107315 entity
Predicate spouse P13 FINISHED
Object Sekai Holland E8808 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: Sekai Holland | Statement: [Jim Holland, spouse, Sekai Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sekai Holland
Context triple: [Jim Holland, spouse, Sekai Holland]
  • A. Sekai Holland chosen
    Sekai Holland is a Zimbabwean politician, human rights activist, and co-founder of the Movement for Democratic Change known for her long struggle for democracy and social justice.
  • B. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • C. Harborland
    Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
  • D. Reiderland
    Reiderland was a former municipality in the province of Groningen in the northeastern Netherlands, later incorporated into the municipality of Oldambt.
  • E. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • 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.