Triple

T14154391
Position Surface form Disambiguated ID Type / Status
Subject Sjoukje Ozinga E350773 entity
Predicate familyName P18 FINISHED
Object Ozinga E350773 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: Ozinga | Statement: [Sjoukje Ozinga, familyName, Ozinga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozinga
Context triple: [Sjoukje Ozinga, familyName, Ozinga]
  • A. Ozinga chosen
    Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
  • B. Ockenga
    Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
  • C. Zogoiby
    Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
  • D. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • E. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6133754881908e1e97db71772deb completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ec6448819087e50aac964ec637 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:58 a.m.