Triple

T7453954
Position Surface form Disambiguated ID Type / Status
Subject Marie Stopes E172072 entity
Predicate familyName P18 FINISHED
Object Stopes
Stopes is the surname of Marie Stopes, the pioneering British birth control advocate, author, and paleobotanist.
 E665230 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: Stopes | Statement: [Marie Stopes, familyName, Stopes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stopes
Context triple: [Marie Stopes, familyName, Stopes]
  • A. Stetinden
    Stetinden is a distinctive, obelisk-shaped mountain in Nordland, Norway, renowned among climbers and often called Norway’s national mountain.
  • B. The Esses
    The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
  • C. The Halt
    The Halt is a 17th-century painting by Dutch Golden Age artist Karel Dujardin, depicting travelers and animals resting in a rustic landscape.
  • D. The Fourmost
    The Fourmost were a 1960s Liverpool beat group associated with the Merseybeat scene, known for their close ties to The Beatles and hits like "A Little Loving."
  • E. Stedman
    Stedman is a masculine given name most widely recognized through Stedman Graham, the American educator, author, and longtime partner of Oprah Winfrey.
  • 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: Stopes
Triple: [Marie Stopes, familyName, Stopes]
Generated description
Stopes is the surname of Marie Stopes, the pioneering British birth control advocate, author, and paleobotanist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stopes
Target entity description: Stopes is the surname of Marie Stopes, the pioneering British birth control advocate, author, and paleobotanist.
  • A. Stetinden
    Stetinden is a distinctive, obelisk-shaped mountain in Nordland, Norway, renowned among climbers and often called Norway’s national mountain.
  • B. The Esses
    The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
  • C. The Halt
    The Halt is a 17th-century painting by Dutch Golden Age artist Karel Dujardin, depicting travelers and animals resting in a rustic landscape.
  • D. The Fourmost
    The Fourmost were a 1960s Liverpool beat group associated with the Merseybeat scene, known for their close ties to The Beatles and hits like "A Little Loving."
  • E. Stedman
    Stedman is a masculine given name most widely recognized through Stedman Graham, the American educator, author, and longtime partner of Oprah Winfrey.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3ac5c2081908ab03f8bd4586f94 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827bedc408190a9a77f293fb12762 completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c8290c62d0819080a1e1820364da88 completed March 28, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69c82958eddc8190ad1697969241ec39 completed March 28, 2026, 7:17 p.m.
Created at: March 27, 2026, 3:14 p.m.