Triple

T10299857
Position Surface form Disambiguated ID Type / Status
Subject Hugh Alexander E241598 entity
Predicate givenName P17 FINISHED
Object Conel
Conel is the given first name of British cryptanalyst and chess player Hugh Alexander.
 E856362 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: Conel | Statement: [Hugh Alexander, givenName, Conel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Conel
Context triple: [Hugh Alexander, givenName, Conel]
  • A. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • B. Koni
    Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
  • C. Corval
    Corval is a small village in Portugal’s Alentejo region, known for its traditional pottery and rural charm.
  • D. Kontias
    Kontias is a traditional village on the Greek island of Lemnos, known for its stone houses, windmills, and scenic coastal surroundings.
  • E. Dorcon
    Dorcon is a rustic cowherd in Longus’s ancient Greek pastoral romance "Daphnis and Chloe," known for his unrequited love for Chloe and his role as a comic, sympathetic rival to Daphnis.
  • 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: Conel
Triple: [Hugh Alexander, givenName, Conel]
Generated description
Conel is the given first name of British cryptanalyst and chess player Hugh Alexander.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Conel
Target entity description: Conel is the given first name of British cryptanalyst and chess player Hugh Alexander.
  • A. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • B. Koni
    Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
  • C. Corval
    Corval is a small village in Portugal’s Alentejo region, known for its traditional pottery and rural charm.
  • D. Kontias
    Kontias is a traditional village on the Greek island of Lemnos, known for its stone houses, windmills, and scenic coastal surroundings.
  • E. Dorcon
    Dorcon is a rustic cowherd in Longus’s ancient Greek pastoral romance "Daphnis and Chloe," known for his unrequited love for Chloe and his role as a comic, sympathetic rival to Daphnis.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ee10f88190b1615c49b8f24a26 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d3f2c2c8190a71e4a896d8753e7 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d7318402f08190b655bdddbd97ecb9 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d734473ef48190852dbe48742a4273 completed April 9, 2026, 5:08 a.m.
Created at: April 6, 2026, 11:44 a.m.