Triple

T399537
Position Surface form Disambiguated ID Type / Status
Subject Bobby Orr E9248 entity
Predicate familyName P18 FINISHED
Object Orr
Orr is a surname of Scottish origin most famously associated with legendary Canadian ice hockey defenseman Bobby Orr.
E51170 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: Orr | Statement: [Bobby Orr, familyName, Orr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orr
Context triple: [Bobby Orr, familyName, Orr]
  • A. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • B. Gilbert
    Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • E. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • 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: Orr
Triple: [Bobby Orr, familyName, Orr]
Generated description
Orr is a surname of Scottish origin most famously associated with legendary Canadian ice hockey defenseman Bobby Orr.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orr
Target entity description: Orr is a surname of Scottish origin most famously associated with legendary Canadian ice hockey defenseman Bobby Orr.
  • A. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • B. Gilbert
    Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • E. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8d0ca881909d786e8eed9b6748 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413f275ac81908b6fd095a6d5a415 completed March 1, 2026, 10:24 a.m.
NEDg Description generation batch_69a41464d2a8819085ee2fc8a86a7628 completed March 1, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69a414a7aff08190ab54f4118cec790d completed March 1, 2026, 10:27 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.