Triple

T15859841
Position Surface form Disambiguated ID Type / Status
Subject Sing Sing E384554 entity
Predicate electricChairNickname P120791 FINISHED
Object Old Sparky E721737 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: Old Sparky | Statement: [Sing Sing, electricChairNickname, Old Sparky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Sparky
Context triple: [Sing Sing, electricChairNickname, Old Sparky]
  • A. Old Sparky chosen
    Old Sparky is the nickname commonly given to electric chairs used for executions in various American prisons.
  • B. Sparky
    Sparky is the loyal, resurrected pet dog at the heart of Tim Burton’s animated film "Frankenweenie."
  • C. Sparky
    Sparky is the nickname of Sparky Lyle, a former Major League Baseball relief pitcher best known for his standout career with the New York Yankees in the 1970s.
  • D. Sparky
    Sparky is the nickname of Hall of Fame Major League Baseball manager Sparky Anderson, renowned for leading the Cincinnati Reds and Detroit Tigers to World Series championships.
  • E. Sparky Marcus
    Sparky Marcus is a film and television producer known for his work on projects such as the series "Cafe Racers."
  • 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: electricChairNickname
Context triple: [Sing Sing, electricChairNickname, Old Sparky]
  • A. executioner
    Indicates that one entity performs or is responsible for carrying out an execution on another entity.
  • B. placeOfExecution
    Indicates the location where an execution or carrying out of a sentence, order, or legal punishment took place.
  • C. executionerOrganization
    Indicates that an organization is responsible for carrying out or executing a particular action, decision, or process on behalf of another party.
  • D. hasGallows
    Indicates that one entity possesses, contains, or is equipped with a gallows.
  • E. executionerState
    Indicates the current status or condition of an entity acting as an executioner within a given process or context.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14da7ac8190bbef49a1602a76fe completed May 9, 2026, 9:04 p.m.
PD Predicate disambiguation batch_69e142b976c081908d3ba3e705419f3a completed April 16, 2026, 8:12 p.m.
PDg Predicate description generation batch_69e174da2c2c819099ec46616798245a completed April 16, 2026, 11:46 p.m.
Created at: April 10, 2026, 4:50 a.m.