Triple

T8270578
Position Surface form Disambiguated ID Type / Status
Subject Tara Lipinski E193417 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 Lipinski, givenName, Tara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tara
Context triple: [Tara Lipinski, 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. Tara
    Tara is a river in the Balkans, primarily flowing through Montenegro and Bosnia and Herzegovina, renowned for carving the dramatic Tara River Canyon, one of the deepest river canyons in Europe.
  • D. Tara
    Tara is a revered Buddhist goddess associated with compassion and protection, widely worshipped across South and Southeast Asia.
  • E. Tara Kaili
    Tara Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795243fc8190a66afef7476e1147 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9510a74c8190a8f8c9c7e430b5ae completed April 1, 2026, 9:58 p.m.
Created at: March 30, 2026, 5:50 p.m.