Triple

T3539867
Position Surface form Disambiguated ID Type / Status
Subject Anne Speke E74856 entity
Predicate familyName P18 FINISHED
Object Speke
Speke is an English surname most notably associated with figures such as Victorian-era explorer John Hanning Speke.
 E27863 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: Speke | Statement: [Anne Speke, familyName, Speke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Speke
Context triple: [Anne Speke, familyName, Speke]
  • A. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • B. Lusoga
    Lusoga is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • C. Speke Airport
    Speke Airport was the original name of the international airport serving Liverpool, England, now known as Liverpool John Lennon Airport.
  • D. Majene
    Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
  • E. Sabie
    Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
  • 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: Speke
Triple: [Anne Speke, familyName, Speke]
Generated description
Speke is an English surname most notably associated with figures such as Victorian-era explorer John Hanning Speke.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Speke
Target entity description: Speke is an English surname most notably associated with figures such as Victorian-era explorer John Hanning Speke.
  • A. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • B. Lusoga
    Lusoga is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • C. Speke Airport chosen
    Speke Airport was the original name of the international airport serving Liverpool, England, now known as Liverpool John Lennon Airport.
  • D. Majene
    Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
  • E. Sabie
    Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
  • F. None of above.

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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbccbbb5c8190a951754dda5fc642 completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bd7fa3881909fee11cc6f4af7ea completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c9259f881908068961f4eaf11a0 completed March 13, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69b38d04eb388190af64f990bac8d140 completed March 13, 2026, 4:05 a.m.
Created at: March 8, 2026, 3:20 p.m.