Triple

T10281668
Position Surface form Disambiguated ID Type / Status
Subject Megyn Kelly E241114 entity
Predicate givenName P17 FINISHED
Object Megyn
Megyn is a feminine given name most prominently associated with American journalist and television personality Megyn Kelly.
E852470 NE FINISHED

How this triple was built (4 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: Megyn | Statement: [Megyn Kelly, givenName, Megyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Megyn
Context triple: [Megyn Kelly, givenName, Megyn]
  • A. Meteghan
    Meteghan is an Acadian fishing community in Clare, Nova Scotia, known for its strong French-speaking heritage and maritime industries.
  • B. Meis
    Meis is the Turkish name for Kastellorizo, a small Greek island in the eastern Mediterranean near the Turkish coast.
  • C. Maren
    Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • D. Mena
    Mena is a small town located in northern Ukraine’s Chernihiv region, known for its rural character and local agricultural activities.
  • E. Glynis
    Glynis is a feminine given name most notably associated with the British actress and singer Glynis Johns.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Megyn
Triple: [Megyn Kelly, givenName, Megyn]
Generated description
Megyn is a feminine given name most prominently associated with American journalist and television personality Megyn Kelly.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Megyn
Target entity description: Megyn is a feminine given name most prominently associated with American journalist and television personality Megyn Kelly.
  • A. Meteghan
    Meteghan is an Acadian fishing community in Clare, Nova Scotia, known for its strong French-speaking heritage and maritime industries.
  • B. Meis
    Meis is the Turkish name for Kastellorizo, a small Greek island in the eastern Mediterranean near the Turkish coast.
  • C. Maren
    Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • D. Mena
    Mena is a small town located in northern Ukraine’s Chernihiv region, known for its rural character and local agricultural activities.
  • E. Glynis
    Glynis is a feminine given name most notably associated with the British actress and singer Glynis Johns.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a177b48190aab7d7857f5bba7b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8352a108190b3692a2de3cb4dea completed April 9, 2026, 12:52 a.m.
NEDg Description generation batch_69d6fcae243c819095a2e791716805bd completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd3495fc8190a093d2536cfbe58a completed April 9, 2026, 1:13 a.m.
Created at: April 6, 2026, 11:39 a.m.