Triple

T2324772
Position Surface form Disambiguated ID Type / Status
Subject Tara VanDerveer E48262 entity
Predicate givenName P17 FINISHED
Object Tara E193416 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: Tara | Statement: [Tara VanDerveer, givenName, Tara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tara
Context triple: [Tara VanDerveer, givenName, Tara]
  • A. Tara chosen
    Tara is a female given name commonly used in English-speaking countries, often associated with notable figures such as Olympic figure skater Tara Lipinski.
  • B. Tara
    Tara is an ancient ceremonial and royal site in County Meath, Ireland, traditionally regarded as the seat of the High Kings of Ireland and a major center of Gaelic spiritual and political life.
  • C. Teressa
    Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
  • D. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • E. Terina
    Terina was an ancient Greek-founded city in southern Italy’s Bruttium region, known as a significant coastal and commercial center in Magna Graecia.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc649af4481908fdc0bc7f4777b71 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896de2c48190ada0814d3a4f8497 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:50 p.m.