Triple

T21502391
Position Surface form Disambiguated ID Type / Status
Subject Greg Behrendt E530508 entity
Predicate familyName P18 FINISHED
Object Behrendt NE NERFINISHED

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: Behrendt | Statement: [Greg Behrendt, familyName, Behrendt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Behrendt
Context triple: [Greg Behrendt, familyName, Behrendt]
  • A. Behrendt chosen
    Behrendt is a German surname, likely a regional or variant form of the name Behrens.
  • B. Koori
    Koori is an Aboriginal Australian term commonly used by Indigenous peoples of southeastern Australia to identify themselves and their cultural identity.
  • C. Noel Pearson
    Noel Pearson is an Australian Indigenous lawyer, academic, and activist known for his influential advocacy on Aboriginal rights, land reform, and constitutional recognition.
  • D. Keneally
    Keneally is an Irish-origin surname most notably borne by Australian novelist Thomas Keneally, author of "Schindler’s Ark."
  • E. Dungatar
    Dungatar is a small, insular Australian rural town that serves as the primary backdrop for Rosalie Ham’s novel "The Dressmaker," marked by its gossip, secrets, and underlying cruelty.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5d209881908754eb07a47e478a completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.