Triple

T3696293
Position Surface form Disambiguated ID Type / Status
Subject Carol & Company E78466 entity
Predicate hasCastMember P2308 FINISHED
Object Meagen Fay
Meagen Fay is an American actress best known for her character roles in television comedies and dramas, including prominent work in sketch and ensemble series.
E386945 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: Meagen Fay | Statement: [Carol & Company, hasCastMember, Meagen Fay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meagen Fay
Context triple: [Carol & Company, hasCastMember, Meagen Fay]
  • A. Cydney Daly
    Cydney Daly is known as the daughter of Hall of Fame NBA coach Chuck Daly.
  • B. Camryn Manheim
    Camryn Manheim is an American actress best known for her Emmy-winning role as attorney Ellenor Frutt on the legal drama series "The Practice."
  • C. Hayley McFarland
    Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
  • D. Mallory Pugh
    Mallory Pugh is an American professional soccer player and U.S. women’s national team forward known for her speed, creativity, and impact at both club and international levels.
  • E. Hadley Beeman
    Hadley Beeman is a web standards and technology governance expert known for her leadership within the World Wide Web Consortium (W3C) and related digital policy initiatives.
  • 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: Meagen Fay
Triple: [Carol & Company, hasCastMember, Meagen Fay]
Generated description
Meagen Fay is an American actress best known for her character roles in television comedies and dramas, including prominent work in sketch and ensemble series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meagen Fay
Target entity description: Meagen Fay is an American actress best known for her character roles in television comedies and dramas, including prominent work in sketch and ensemble series.
  • A. Cydney Daly
    Cydney Daly is known as the daughter of Hall of Fame NBA coach Chuck Daly.
  • B. Camryn Manheim
    Camryn Manheim is an American actress best known for her Emmy-winning role as attorney Ellenor Frutt on the legal drama series "The Practice."
  • C. Hayley McFarland
    Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
  • D. Mallory Pugh
    Mallory Pugh is an American professional soccer player and U.S. women’s national team forward known for her speed, creativity, and impact at both club and international levels.
  • E. Hadley Beeman
    Hadley Beeman is a web standards and technology governance expert known for her leadership within the World Wide Web Consortium (W3C) and related digital policy initiatives.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc50f9ad88190a926042fa73d65dc completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4e5906481909c0d0989dde7743f completed March 14, 2026, 4:32 a.m.
NEDg Description generation batch_69b4e62d284881908531b93645649f45 completed March 14, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69b4ea2b19e48190864d2114603865ed completed March 14, 2026, 4:55 a.m.
Created at: March 8, 2026, 3:26 p.m.