Triple

T10802901
Position Surface form Disambiguated ID Type / Status
Subject Cobb Track and Angell Field E254886 entity
Predicate namedAfter P63 FINISHED
Object Angell
Angell is the namesake of Cobb Track and Angell Field, likely a significant benefactor or figure associated with the institution that owns the facility.
 E886546 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: Angell | Statement: [Cobb Track and Angell Field, namedAfter, Angell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angell
Context triple: [Cobb Track and Angell Field, namedAfter, Angell]
  • A. Angell
    Angell is a surname most notably associated with American television producer and writer David Angell, known for his work on hit sitcoms such as "Cheers" and "Frasier."
  • B. Shep
    Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
  • C. Shep
    Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
  • D. Merle
    Merle is a given name most famously associated with American country music legend Merle Haggard.
  • E. Prancer
    Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • 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: Angell
Triple: [Cobb Track and Angell Field, namedAfter, Angell]
Generated description
Angell is the namesake of Cobb Track and Angell Field, likely a significant benefactor or figure associated with the institution that owns the facility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angell
Target entity description: Angell is the namesake of Cobb Track and Angell Field, likely a significant benefactor or figure associated with the institution that owns the facility.
  • A. Angell
    Angell is a surname most notably associated with American television producer and writer David Angell, known for his work on hit sitcoms such as "Cheers" and "Frasier."
  • B. Shep
    Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
  • C. Shep
    Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
  • D. Merle
    Merle is a given name most famously associated with American country music legend Merle Haggard.
  • E. Prancer
    Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7336feff88190b638b7d62d34da0e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69de566e7d408190946864e28c294075 completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eaf3cc08190935cb6ddf2020166 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de63a902f4819089845bc6d7469c6b completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:18 p.m.