Triple

T14616708
Position Surface form Disambiguated ID Type / Status
Subject Trevor Linden E343104 entity
Predicate familyName P18 FINISHED
Object Linden
Linden is a surname most prominently associated with Trevor Linden, a former professional ice hockey player and longtime captain of the Vancouver Canucks.
E1110146 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: Linden | Statement: [Trevor Linden, familyName, Linden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linden
Context triple: [Trevor Linden, familyName, Linden]
  • A. Linden
    Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
  • B. Linden
    Linden is a major town in central Guyana known for its bauxite mining industry and location along the Demerara River.
  • C. Linden
    Linden is a small rural community located along Nova Scotia’s North Shore in Cumberland County, Canada.
  • D. Linden
    Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
  • E. Linden
    Linden is a town in Lower Saxony, Germany, known as the birthplace of political theorist Hannah Arendt.
  • 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: Linden
Triple: [Trevor Linden, familyName, Linden]
Generated description
Linden is a surname most prominently associated with Trevor Linden, a former professional ice hockey player and longtime captain of the Vancouver Canucks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linden
Target entity description: Linden is a surname most prominently associated with Trevor Linden, a former professional ice hockey player and longtime captain of the Vancouver Canucks.
  • A. Linden
    Linden is a small rural community located along Nova Scotia’s North Shore in Cumberland County, Canada.
  • B. Linden
    Linden is a major town in central Guyana known for its bauxite mining industry and location along the Demerara River.
  • C. Linden
    Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
  • D. Linden
    Linden is a small village in the City of Blue Mountains in New South Wales, Australia, known for its bushland setting and proximity to scenic mountain lookouts and walking tracks.
  • E. Linden
    Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda922f29c8190af98a8241d86f7cd completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb26b3ec481909c37e56eca8c7a82 completed May 8, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_69fdb34d945c8190a464c0d4e5612ceb completed May 8, 2026, 9:56 a.m.
Created at: April 10, 2026, 1:25 a.m.