Triple

T1441191
Position Surface form Disambiguated ID Type / Status
Subject Diana Taurasi E31075 entity
Predicate familyName P18 FINISHED
Object Taurasi
Taurasi is the surname of Diana Taurasi, a legendary American professional basketball player widely regarded as one of the greatest in WNBA history.
E165312 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: Taurasi | Statement: [Diana Taurasi, familyName, Taurasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taurasi
Context triple: [Diana Taurasi, familyName, Taurasi]
  • A. Carneia
    Carneia was an important ancient Spartan and Dorian festival in honor of Apollo, marked by rituals, music, and athletic contests that reflected both military and agricultural aspects of the community.
  • B. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • C. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • D. Valla
    Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
  • E. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • 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: Taurasi
Triple: [Diana Taurasi, familyName, Taurasi]
Generated description
Taurasi is the surname of Diana Taurasi, a legendary American professional basketball player widely regarded as one of the greatest in WNBA history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taurasi
Target entity description: Taurasi is the surname of Diana Taurasi, a legendary American professional basketball player widely regarded as one of the greatest in WNBA history.
  • A. Carneia
    Carneia was an important ancient Spartan and Dorian festival in honor of Apollo, marked by rituals, music, and athletic contests that reflected both military and agricultural aspects of the community.
  • B. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • C. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • D. Valla
    Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
  • E. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5307e988190b392f1f1d1ac10f0 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08bc290c8190902f47f718bd4f98 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad09823ce481908b5db3ee9ebd1a88 completed March 8, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69ad0a8f17888190913c06641a6ac060 completed March 8, 2026, 5:35 a.m.
Created at: March 1, 2026, 8 p.m.