Triple

T9090202
Position Surface form Disambiguated ID Type / Status
Subject Brenna Harding E217861 entity
Predicate givenName P17 FINISHED
Object Brenna E217861 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: Brenna | Statement: [Brenna Harding, givenName, Brenna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenna
Context triple: [Brenna Harding, givenName, Brenna]
  • A. Brenna
    Brenna is a village and popular tourist resort in southern Poland, situated in the Silesian Beskids mountain range.
  • B. Brenna
    Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
  • C. Brenna Harding chosen
    Brenna Harding is an Australian actress best known for her roles in the TV series "Puberty Blues" and the "Arkangel" episode of "Black Mirror."
  • D. Breanna
    Breanna is the given name of Breanna Stewart, a prominent American professional basketball player and multiple-time WNBA champion and MVP.
  • E. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965971f88190acffbf204c11832b completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03007ed908190afd34cf3f32312e9 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:14 p.m.