Triple

T7977353
Position Surface form Disambiguated ID Type / Status
Subject Ivar Jacobson E185479 entity
Predicate familyName P18 FINISHED
Object Jacobson E681543 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: Jacobson | Statement: [Ivar Jacobson, familyName, Jacobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacobson
Context triple: [Ivar Jacobson, familyName, Jacobson]
  • A. Jacobson chosen
    Jacobson is a common Ashkenazi Jewish patronymic surname meaning "son of Jacob," found among Jewish communities of Eastern and Central European origin.
  • B. Jacobsen
    Jacobsen is a common Danish surname borne by numerous notable figures in fields such as design, architecture, literature, and politics.
  • C. Jacob's
    Jacob's is a well-known biscuit brand originating from Ireland, recognized for products like cream crackers and a variety of sweet and savory biscuits.
  • D. Jacobus
    Jacobus is the given name of Koos de la Rey, a prominent Boer general and political figure in South African history.
  • E. Jablonsky
    Jablonsky is a surname most prominently associated with Steve Jablonsky, an American composer known for his film and video game scores, including the Transformers 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf716508190b4245bd5d89ae8c4 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0cc09a081909cb92cd4864ef50d completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:14 p.m.