Triple

T12183039
Position Surface form Disambiguated ID Type / Status
Subject Joan Ganz Cooney E290266 entity
Predicate familyName P18 FINISHED
Object Ganz Cooney
Ganz Cooney is the surname of Joan Ganz Cooney, the American television producer and co-creator of the educational children's program "Sesame Street."
E968387 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: Ganz Cooney | Statement: [Joan Ganz Cooney, familyName, Ganz Cooney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ganz Cooney
Context triple: [Joan Ganz Cooney, familyName, Ganz Cooney]
  • A. Bubley
    Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
  • B. Quiney
    Quiney is an English surname historically associated with families in Stratford-upon-Avon, including relatives by marriage of William Shakespeare.
  • C. Billina
    Billina is a talking hen from L. Frank Baum’s Oz series, best known as Dorothy’s sharp-tongued companion in "Ozma of Oz."
  • D. Allamagoosa
    Allamagoosa is a humorous science fiction short story by Eric Frank Russell, best known for its satirical take on military bureaucracy and its 1955 Hugo Award win.
  • E. O'Steen
    O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
  • 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: Ganz Cooney
Triple: [Joan Ganz Cooney, familyName, Ganz Cooney]
Generated description
Ganz Cooney is the surname of Joan Ganz Cooney, the American television producer and co-creator of the educational children's program "Sesame Street."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ganz Cooney
Target entity description: Ganz Cooney is the surname of Joan Ganz Cooney, the American television producer and co-creator of the educational children's program "Sesame Street."
  • A. Bubley
    Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
  • B. Quiney
    Quiney is an English surname historically associated with families in Stratford-upon-Avon, including relatives by marriage of William Shakespeare.
  • C. Billina
    Billina is a talking hen from L. Frank Baum’s Oz series, best known as Dorothy’s sharp-tongued companion in "Ozma of Oz."
  • D. Allamagoosa
    Allamagoosa is a humorous science fiction short story by Eric Frank Russell, best known for its satirical take on military bureaucracy and its 1955 Hugo Award win.
  • E. O'Steen
    O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fd8dac8190928059ad2b6bbbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6acee6481908ee4129956c98c52 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:50 p.m.