Triple

T6121724
Position Surface form Disambiguated ID Type / Status
Subject Michael Lonsdale E136500 entity
Predicate familyName P18 FINISHED
Object Lonsdale
Lonsdale is a surname most notably associated with French-English actor Michael Lonsdale, known for his extensive work in European cinema and international films.
 E568141 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: Lonsdale | Statement: [Michael Lonsdale, familyName, Lonsdale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lonsdale
Context triple: [Michael Lonsdale, familyName, Lonsdale]
  • A. Lonsdale
    Lonsdale is a historic village in Rhode Island known for its early textile mills and role in the state’s industrial development.
  • B. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • C. Moseley
    Moseley is a surname most notably associated with Jonny Moseley, the American Olympic gold medal–winning freestyle skier.
  • D. Wollaston
    Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
  • E. Dowanhill
    Dowanhill is a residential and affluent neighborhood in Glasgow’s West End, known for its Victorian architecture and proximity to cultural and educational institutions.
  • 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: Lonsdale
Triple: [Michael Lonsdale, familyName, Lonsdale]
Generated description
Lonsdale is a surname most notably associated with French-English actor Michael Lonsdale, known for his extensive work in European cinema and international films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lonsdale
Target entity description: Lonsdale is a surname most notably associated with French-English actor Michael Lonsdale, known for his extensive work in European cinema and international films.
  • A. Lonsdale
    Lonsdale is a historic village in Rhode Island known for its early textile mills and role in the state’s industrial development.
  • B. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • C. Moseley
    Moseley is a surname most notably associated with Jonny Moseley, the American Olympic gold medal–winning freestyle skier.
  • D. Wollaston
    Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
  • E. Dowanhill
    Dowanhill is a residential and affluent neighborhood in Glasgow’s West End, known for its Victorian architecture and proximity to cultural and educational institutions.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bf16ad48190958cc46510e02bd3 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125739cd8819081f2c860566f62bf completed March 23, 2026, 11:35 a.m.
NEDg Description generation batch_69c125eeeb488190987724c0f8d83858 completed March 23, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69c1266776908190989c2a0d86125c9e completed March 23, 2026, 11:39 a.m.
Created at: March 22, 2026, 4:14 p.m.