Triple

T5648057
Position Surface form Disambiguated ID Type / Status
Subject Paul Arizin E124431 entity
Predicate familyName P18 FINISHED
Object Arizin
Arizin is the surname of Paul Arizin, a Hall of Fame American professional basketball player and early NBA scoring star.
E535302 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: Arizin | Statement: [Paul Arizin, familyName, Arizin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arizin
Context triple: [Paul Arizin, familyName, Arizin]
  • A. Abia State
    Abia State is a landlocked state in southeastern Nigeria known for its commercial hub Aba and its role in the oil-producing Niger Delta region.
  • B. Azərilər
    Azərilər are a Turkic ethnic group primarily inhabiting Azerbaijan and northwestern Iran, known for their Azerbaijani language and rich cultural traditions.
  • C. Boren
    Boren is a surname most prominently associated with American politician and former Oklahoma governor and U.S. senator David Boren.
  • D. Mianeh
    Mianeh is a significant city in northwestern Iran known as an important urban and transportation center in the East Azerbaijan region.
  • E. Haise
    Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
  • 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: Arizin
Triple: [Paul Arizin, familyName, Arizin]
Generated description
Arizin is the surname of Paul Arizin, a Hall of Fame American professional basketball player and early NBA scoring star.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arizin
Target entity description: Arizin is the surname of Paul Arizin, a Hall of Fame American professional basketball player and early NBA scoring star.
  • A. Abia State
    Abia State is a landlocked state in southeastern Nigeria known for its commercial hub Aba and its role in the oil-producing Niger Delta region.
  • B. Azərilər
    Azərilər are a Turkic ethnic group primarily inhabiting Azerbaijan and northwestern Iran, known for their Azerbaijani language and rich cultural traditions.
  • C. Boren
    Boren is a surname most prominently associated with American politician and former Oklahoma governor and U.S. senator David Boren.
  • D. Mianeh
    Mianeh is a significant city in northwestern Iran known as an important urban and transportation center in the East Azerbaijan region.
  • E. Haise
    Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d1534c8190ac4828e44300fb91 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d88bbf08190b32d1ad157e28fe4 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edcc0208190bd69b5cce89596f9 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ff814b88190ad01844ae2629c6e completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:42 p.m.