Triple

T14525945
Position Surface form Disambiguated ID Type / Status
Subject Aharon E340775 entity
Predicate hasSurnameDerived P54694 FINISHED
Object Aharonson E1103815 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: Aharonson | Statement: [Aharon, hasSurnameDerived, Aharonson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aharonson
Context triple: [Aharon, hasSurnameDerived, Aharonson]
  • A. Aharoni chosen
    Aharoni is a Hebrew surname derived from the given name Aharon (Aaron), commonly associated with Jewish families of Levantine origin.
  • B. Aharon
    Aharon is a masculine given name of Hebrew origin, traditionally associated with the biblical figure Aaron and widely used in Jewish communities.
  • C. Alon
    Alon is a Hebrew surname borne by several notable individuals, including mathematician and computer scientist Noga Alon.
  • D. Arons
    Arons is the surname of Arnold B. Arons, a prominent American physicist and influential physics education researcher.
  • E. Aron Ain
    Aron Ain is an American business executive best known for leading workforce management company Kronos Incorporated and later serving as CEO and chairman of UKG (Ultimate Kronos Group) after its merger.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea050781881909ed685d94479bf99 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab07e08819085a6a21cc9cea1fa completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.