Triple

T11979745
Position Surface form Disambiguated ID Type / Status
Subject Tierney E285126 entity
Predicate hasVariant P455 FINISHED
Object Tierny E734663 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: Tierny | Statement: [Tierney, hasVariant, Tierny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tierny
Context triple: [Tierney, hasVariant, Tierny]
  • A. Tain
    Tain is a historic town in the Highlands of Scotland, known as one of the country’s oldest royal burghs and a regional administrative and judicial center.
  • B. Toormina
    Toormina is a coastal suburb in the Coffs Harbour region of New South Wales, Australia, known as a residential and commercial area near the beachside town of Sawtell.
  • C. Aegan
    Aegan is a 2008 Tamil action-comedy film starring Ajith Kumar, loosely inspired by the Bollywood movie Main Hoon Na.
  • D. Cionnaith
    Cionnaith is an Irish Gaelic given name of ancient origin, from which the surname McKenna is derived.
  • E. Triona chosen
    Triona is an Irish feminine given name commonly used as a shortened form of Catriona.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47209bd088190bf4c7687c0a5eed6 completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.