Triple

T14629353
Position Surface form Disambiguated ID Type / Status
Subject Immaculate Reception E343437 entity
Predicate nicknameCreator P44320 FINISHED
Object Myron Cope E1125388 NE FINISHED

How this triple was built (3 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: Myron Cope | Statement: [Immaculate Reception, nicknameCreator, Myron Cope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myron Cope
Context triple: [Immaculate Reception, nicknameCreator, Myron Cope]
  • A. Myron Cope chosen
    Myron Cope was a longtime Pittsburgh sports broadcaster and writer best known as the iconic radio voice of the Pittsburgh Steelers and the inventor of the Terrible Towel.
  • B. Myron Healey
    Myron Healey was an American character actor best known for his prolific work in Western films and television from the 1940s through the 1960s.
  • C. Myron Hunt
    Myron Hunt was a prominent early 20th-century American architect known for designing significant landmarks in Southern California, including notable hotels, educational buildings, and cultural institutions.
  • D. Myron Stout
    Myron Stout was an American abstract painter known for his austere, geometric compositions and influential role in the mid-20th-century art scene.
  • E. Myron McCormick
    Myron McCormick was an American character actor of stage and screen, known for his supporting roles in mid-20th-century films and Broadway productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nicknameCreator
Context triple: [Immaculate Reception, nicknameCreator, Myron Cope]
  • A. nicknameCategory
    Indicates that one entity is a nickname and the other entity is the category or type that this nickname belongs to.
  • B. nameTheme
    Indicates that one entity serves as the thematic or subject-related name associated with another entity.
  • C. nickNameGivenBy chosen
    Indicates that one entity assigns or uses a particular nickname for another entity.
  • D. nicknameForRole
    Indicates that one entity is an informal or alternative name commonly used to refer to a particular role or position represented by another entity.
  • E. characterGenerator
    Indicates a relationship where an entity produces, defines, or initializes characters or character data for use in another context.
  • F. None of above.

Provenance (4 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a7c8fc81909d10c1f563d7d1e7 completed April 14, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46175b88190ae687073ddaa3d22 completed May 10, 2026, 1:50 a.m.
PD Predicate disambiguation batch_69de657359c88190b082e3e9f86fc1d7 completed April 14, 2026, 4:04 p.m.
Created at: April 10, 2026, 1:26 a.m.