Triple

T15173874
Position Surface form Disambiguated ID Type / Status
Subject Alix Dobkin E362555 entity
Predicate hasSurname P18 FINISHED
Object Dobkin E362555 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: Dobkin | Statement: [Alix Dobkin, hasSurname, Dobkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dobkin
Context triple: [Alix Dobkin, hasSurname, Dobkin]
  • A. Dobkin chosen
    Dobkin is a Jewish surname borne by various notable individuals, including figures in Israeli politics, arts, and public life.
  • B. Dobley
    Dobley is a significant urban center in Somalia's Jubaland region, serving as an important local hub for trade and administration.
  • C. Dibble
    Dibble is a surname most notably associated with former Major League Baseball relief pitcher and broadcaster Rob Dibble.
  • D. Dobo
    Dobo is the main town and administrative center of the Aru Islands in Indonesia, serving as the region’s political and economic hub.
  • E. Dobie
    Dobie is the first name of the fictional character Dobie Gillis, a typical American teenager featured in Max Shulman’s stories and the TV series "The Many Loves of Dobie Gillis."
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006501b488190a2ab09dbf1532571 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88c69088190a61f0a5719e99b87 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.