Triple

T3818928
Position Surface form Disambiguated ID Type / Status
Subject Aunt Bee Taylor E84323 entity
Predicate networkOfFirstAppearance P52457 FINISHED
Object CBS E6070 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: CBS | Statement: [Aunt Bee Taylor, networkOfFirstAppearance, CBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS
Context triple: [Aunt Bee Taylor, networkOfFirstAppearance, CBS]
  • A. CBS chosen
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • B. CBS
    CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
  • C. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • D. NBC
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • E. Columbia Broadcasting System
    Columbia Broadcasting System (CBS) is a major American commercial broadcast television and radio network known for its influential news, entertainment, and sports programming.
  • 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: networkOfFirstAppearance
Context triple: [Aunt Bee Taylor, networkOfFirstAppearance, CBS]
  • A. firstAppearanceFor
    Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
  • B. firstAppearanceForTeam
    Indicates that this event or instance marks an entity’s debut or initial appearance for a particular team.
  • C. firstAppeared
    Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
  • D. firstAppearedAt
    Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
  • E. firstAppearanceEpisode
    Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef188b474819087680db42b04ecdd completed March 9, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5121f9d288190bd265a95b7727ab5 completed March 14, 2026, 7:45 a.m.
PD Predicate disambiguation batch_69aee74a2bc081909b237df8b1e27653 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aef18748648190b85e62f7796ff4b4 completed March 9, 2026, 4:12 p.m.
Created at: March 9, 2026, 3:17 p.m.