Triple

T6920588
Position Surface form Disambiguated ID Type / Status
Subject Krishna Thea Lakshmi-Dell E160173 entity
Predicate middleName P143 FINISHED
Object Thea E215138 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: Thea | Statement: [Krishna Thea Lakshmi-Dell, middleName, Thea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thea
Context triple: [Krishna Thea Lakshmi-Dell, middleName, Thea]
  • A. Thea chosen
    Thea is a feminine given name, often used as a short form of names like Dorothea or Theodora and associated with the Greek word for "goddess."
  • B. Timothea
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • C. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • D. Teressa
    Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
  • E. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fa452c8190b2bea2d47309c889 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75854d968819085e0c5123a57c751 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:26 p.m.