Triple

T9948004
Position Surface form Disambiguated ID Type / Status
Subject Channel 5 News E195253 entity
Predicate hasFictionalEmployee P61558 FINISHED
Object Tom Tucker E37544 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: Tom Tucker | Statement: [Channel 5 News, hasFictionalEmployee, Tom Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Tucker
Context triple: [Channel 5 News, hasFictionalEmployee, Tom Tucker]
  • A. Tom Tucker chosen
    Tom Tucker is a fictional, mustachioed news anchor on the animated television series "Family Guy," known for his eccentric on-air persona and deadpan delivery.
  • B. Dan Tucker
    Dan Tucker is the titular, comical protagonist of the 19th-century American minstrel song "Old Dan Tucker," often depicted as a boisterous, rustic figure.
  • C. Frank Mullen
    Frank Mullen is an American death metal vocalist best known as the longtime frontman of the band Suffocation.
  • D. Jim Tunney
    Jim Tunney is a former NFL official renowned as one of the league’s most respected referees, often called the “Dean of NFL Referees.”
  • E. John Tusa
    John Tusa is a British arts administrator, broadcaster, and former managing director of the BBC World Service and the Barbican Centre.
  • 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: hasFictionalEmployee
Context triple: [Channel 5 News, hasFictionalEmployee, Tom Tucker]
  • A. hasFictionalStaffMember chosen
    Indicates that an entity includes or employs a staff member who is a fictional character.
  • B. hasFictionalAuthor
    Indicates that one entity is the fictional or in-universe author of a work attributed to them.
  • C. hasFictionalFunction
    Indicates that an entity serves a role, purpose, or function within a fictional context or narrative.
  • D. hasFictionalProperty
    Indicates that an entity possesses a property, attribute, or characteristic that exists only in a fictional or imaginary context.
  • E. hasFictionalPerformer
    Indicates that an entity is associated with a performer who is a fictional or imaginary character rather than a real person.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb659307c81908279adb641ceef86 completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281d5f6188190a7e657b1bd9bc607 completed April 5, 2026, 3:37 p.m.
PD Predicate disambiguation batch_69cd1d97c44081908730071269f07712 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:45 p.m.