Triple

T14969833
Position Surface form Disambiguated ID Type / Status
Subject Teaira McCowan E373286 entity
Predicate givenName P17 FINISHED
Object Teaira
Teaira is a professional basketball player best known as Teaira McCowan, a dominant center in women’s basketball.
 E1129976 NE FINISHED

How this triple was built (4 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: Teaira | Statement: [Teaira McCowan, givenName, Teaira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teaira
Context triple: [Teaira McCowan, givenName, Teaira]
  • A. Arinna
    Arinna was an important ancient Hittite city closely associated with the worship of the Sun goddess and central to the kingdom’s religious life.
  • B. Effraya
    Effraya is the principal city and administrative center of the region of Etung.
  • C. Erial
    Erial is a residential unincorporated community and neighborhood located within Gloucester Township in Camden County, New Jersey.
  • D. Ooralea
    Ooralea is a suburban locality within Queensland’s Mackay Region, known for its residential areas and proximity to the city of Mackay.
  • E. Vedder
    Vedder is a surname most notably associated with Elihu Vedder, an American symbolist painter, book illustrator, and muralist active in the late 19th and early 20th centuries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Teaira
Triple: [Teaira McCowan, givenName, Teaira]
Generated description
Teaira is a professional basketball player best known as Teaira McCowan, a dominant center in women’s basketball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teaira
Target entity description: Teaira is a professional basketball player best known as Teaira McCowan, a dominant center in women’s basketball.
  • A. Arinna
    Arinna was an important ancient Hittite city closely associated with the worship of the Sun goddess and central to the kingdom’s religious life.
  • B. Effraya
    Effraya is the principal city and administrative center of the region of Etung.
  • C. Erial
    Erial is a residential unincorporated community and neighborhood located within Gloucester Township in Camden County, New Jersey.
  • D. Ooralea
    Ooralea is a suburban locality within Queensland’s Mackay Region, known for its residential areas and proximity to the city of Mackay.
  • E. Vedder
    Vedder is a surname most notably associated with Elihu Vedder, an American symbolist painter, book illustrator, and muralist active in the late 19th and early 20th centuries.
  • F. None of above. chosen

Provenance (5 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e59a7c8190a1634a706ea68fda completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be6ce68819099f841d83c6ca33d completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8e512adc8190a1cf47f1713a968f completed May 9, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69fe8ec3d718819098629558bc007496 completed May 9, 2026, 1:32 a.m.
Created at: April 10, 2026, 2:49 a.m.