Triple

T23514514
Position Surface form Disambiguated ID Type / Status
Subject Meg Cabot E574319 entity
Predicate givenName P17 FINISHED
Object Meggin
Meggin is the given first name of Meg Cabot, the bestselling American author known for works like "The Princess Diaries."
E1590730 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: Meggin | Statement: [Meg Cabot, givenName, Meggin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meggin
Context triple: [Meg Cabot, givenName, Meggin]
  • A. Meggie
    Meggie is a common diminutive or nickname for the given name Meg or Margaret, often used as an affectionate or informal form.
  • B. Megyn
    Megyn is a feminine given name most prominently associated with American journalist and television personality Megyn Kelly.
  • C. Margy
    Margy is a feminine given name, typically used as a diminutive or variant of names like Margaret.
  • D. Mervynne
    Mervynne is a less common variant spelling of the given name Mervyn, typically used as a feminine or stylistic form.
  • E. Moggach
    Moggach is a surname most notably associated with British novelist and screenwriter Deborah Moggach.
  • 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: Meggin
Triple: [Meg Cabot, givenName, Meggin]
Generated description
Meggin is the given first name of Meg Cabot, the bestselling American author known for works like "The Princess Diaries."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meggin
Target entity description: Meggin is the given first name of Meg Cabot, the bestselling American author known for works like "The Princess Diaries."
  • A. Meggie
    Meggie is a common diminutive or nickname for the given name Meg or Margaret, often used as an affectionate or informal form.
  • B. Megyn
    Megyn is a feminine given name most prominently associated with American journalist and television personality Megyn Kelly.
  • C. Margy
    Margy is a feminine given name, typically used as a diminutive or variant of names like Margaret.
  • D. Mervynne
    Mervynne is a less common variant spelling of the given name Mervyn, typically used as a feminine or stylistic form.
  • E. Moggach
    Moggach is a surname most notably associated with British novelist and screenwriter Deborah Moggach.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa80d9048190ab735dddd301feb4 completed April 29, 2026, 6:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf48ac808190afe97f9f2b9fe8ae completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce0ffc8c08190a9ef8f8bbdec55b5 completed May 19, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce22ac5ac8190b708bb201fdf3af8 completed May 19, 2026, 10:20 p.m.
Created at: April 17, 2026, 6:08 p.m.