Triple

T14018596
Position Surface form Disambiguated ID Type / Status
Subject The Faye Emerson Show (CBS late-night talk show) E337263 entity
Predicate namedAfter P63 FINISHED
Object Faye Emerson E67606 NE FINISHED

How this triple was built (2 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: Faye Emerson | Statement: [The Faye Emerson Show (CBS late-night talk show), namedAfter, Faye Emerson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faye Emerson
Context triple: [The Faye Emerson Show (CBS late-night talk show), namedAfter, Faye Emerson]
  • A. Faye Emerson chosen
    Faye Emerson was an American film and stage actress who became a popular early television personality in the 1940s and 1950s.
  • B. Faye Miller
    Faye Miller is a market research psychologist who becomes one of Don Draper’s significant romantic partners in the television series "Mad Men."
  • C. Faye Medwick
    Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
  • D. Faye Ward
    Faye Ward is a British film and television producer known for her work on acclaimed projects such as the historical drama "Suffragette."
  • E. Faye Webb Gardner
    Faye Webb Gardner was a prominent local benefactor and namesake whose support and influence were instrumental in the development of Gardner–Webb Junior College in North Carolina.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3b5b088190a58715779d2c46a6 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed31670a48190a606e812a2aa0a6e completed May 9, 2026, 6:24 a.m.
Created at: April 9, 2026, 10:19 p.m.