Triple

T4169144
Position Surface form Disambiguated ID Type / Status
Subject Helen Sharman E84517 entity
Predicate familyName P18 FINISHED
Object Sharman
Sharman is a surname most notably associated with Helen Sharman, the first British astronaut and the first Western European woman in space.
 E416800 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: Sharman | Statement: [Helen Sharman, familyName, Sharman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sharman
Context triple: [Helen Sharman, familyName, Sharman]
  • A. Kashmore
    Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
  • B. Seeman
    Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
  • C. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • D. Shalin
    Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
  • E. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • 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: Sharman
Triple: [Helen Sharman, familyName, Sharman]
Generated description
Sharman is a surname most notably associated with Helen Sharman, the first British astronaut and the first Western European woman in space.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sharman
Target entity description: Sharman is a surname most notably associated with Helen Sharman, the first British astronaut and the first Western European woman in space.
  • A. Kashmore
    Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
  • B. Seeman
    Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
  • C. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • D. Shalin
    Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
  • E. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c730b081908b19e6a4aea1549b completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f4c2c988190959496cc0cc31cac completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b57fe89ed0819089d7e56568755b1c completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5805cb7e88190b2f6ed6a18de9319 completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:44 p.m.