Triple

T11108288
Position Surface form Disambiguated ID Type / Status
Subject The Ninety-Nines E262689 entity
Predicate hasNotableMember P304 FINISHED
Object Louise Thaden
Louise Thaden was a pioneering American aviator and record-setting female pilot of the early 20th century.
 E906265 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: Louise Thaden | Statement: [The Ninety-Nines, hasNotableMember, Louise Thaden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Louise Thaden
Context triple: [The Ninety-Nines, hasNotableMember, Louise Thaden]
  • A. Alyce Mayo
    Alyce Mayo is an American actress and former wife of acclaimed actor Peter Falk.
  • B. Kate Lardner
    Kate Lardner is an American writer and actress, and a member of the prominent Lardner family of authors and journalists.
  • C. Ruth Dennis
    Ruth Dennis, better known as Ruth St. Denis, was a pioneering American modern dance artist and co-founder of the Denishawn School, influential in shaping early 20th-century modern dance.
  • D. Kay Robertson
    Kay Robertson is the matriarch of the Robertson family, known for her warm, no-nonsense presence and Southern cooking on the reality TV series "Duck Dynasty."
  • E. Lotta Crabtree
    Lotta Crabtree was a celebrated 19th-century American actress, comedian, and vaudeville star who became one of the highest-paid performers of her era.
  • 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: Louise Thaden
Triple: [The Ninety-Nines, hasNotableMember, Louise Thaden]
Generated description
Louise Thaden was a pioneering American aviator and record-setting female pilot of the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Louise Thaden
Target entity description: Louise Thaden was a pioneering American aviator and record-setting female pilot of the early 20th century.
  • A. Alyce Mayo
    Alyce Mayo is an American actress and former wife of acclaimed actor Peter Falk.
  • B. Kate Lardner
    Kate Lardner is an American writer and actress, and a member of the prominent Lardner family of authors and journalists.
  • C. Ruth Dennis
    Ruth Dennis, better known as Ruth St. Denis, was a pioneering American modern dance artist and co-founder of the Denishawn School, influential in shaping early 20th-century modern dance.
  • D. Kay Robertson
    Kay Robertson is the matriarch of the Robertson family, known for her warm, no-nonsense presence and Southern cooking on the reality TV series "Duck Dynasty."
  • E. Lotta Crabtree
    Lotta Crabtree was a celebrated 19th-century American actress, comedian, and vaudeville star who became one of the highest-paid performers of her era.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a67d10c8190815d4c27d55270e8 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d72f8f48190a7414119a6be9d5e completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4374700b881908ebb185ae020487b completed April 19, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69e4399385c08190852c3cbd730a1f11 completed April 19, 2026, 2:10 a.m.
Created at: April 8, 2026, 9:27 p.m.