Triple

T6739520
Position Surface form Disambiguated ID Type / Status
Subject Maeve Binchy E154039 entity
Predicate givenName P17 FINISHED
Object Maeve
Maeve is a feminine given name of Irish origin, traditionally associated with a legendary queen of Connacht in Irish mythology.
 E616779 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: Maeve | Statement: [Maeve Binchy, givenName, Maeve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maeve
Context triple: [Maeve Binchy, givenName, Maeve]
  • A. Sheelagh
    Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
  • B. Maeve Dermody
    Maeve Dermody is an Australian actress known for her work in film, television, and theatre, including a prominent role in the 2015 adaptation of Agatha Christie's "And Then There Were None."
  • C. Orla
    Orla is a river in eastern Germany that flows through Thuringia before joining the Saale.
  • D. Deidre
    Deidre is a public figure best known as the wife of former Major League Baseball star Albert Pujols and for her involvement in charitable and community work.
  • E. Meggie
    Meggie is a common diminutive or nickname for the given name Meg or Margaret, often used as an affectionate or informal form.
  • 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: Maeve
Triple: [Maeve Binchy, givenName, Maeve]
Generated description
Maeve is a feminine given name of Irish origin, traditionally associated with a legendary queen of Connacht in Irish mythology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maeve
Target entity description: Maeve is a feminine given name of Irish origin, traditionally associated with a legendary queen of Connacht in Irish mythology.
  • A. Sheelagh
    Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
  • B. Maeve Dermody
    Maeve Dermody is an Australian actress known for her work in film, television, and theatre, including a prominent role in the 2015 adaptation of Agatha Christie's "And Then There Were None."
  • C. Orla
    Orla is a river in eastern Germany that flows through Thuringia before joining the Saale.
  • D. Deidre
    Deidre is a public figure best known as the wife of former Major League Baseball star Albert Pujols and for her involvement in charitable and community work.
  • E. Meggie
    Meggie is a common diminutive or nickname for the given name Meg or Margaret, often used as an affectionate or informal form.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d187c8788190b9fc1ebc9a66a520 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0db3f481909b5281c63cc32dd1 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70b83f24c819091a6a2a7802c830f completed March 27, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69c70f676e408190bc85a2760446d5d1 completed March 27, 2026, 11:14 p.m.
Created at: March 27, 2026, 2:10 p.m.