Triple

T3224382
Position Surface form Disambiguated ID Type / Status
Subject Susannah Harker E67588 entity
Predicate familyName P18 FINISHED
Object Harker
Harker is a surname of English origin borne by various notable individuals, including actors, writers, and public figures.
 E338778 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: Harker | Statement: [Susannah Harker, familyName, Harker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harker
Context triple: [Susannah Harker, familyName, Harker]
  • A. Nightcliff
    Nightcliff is a coastal suburb of Darwin in Australia's Northern Territory, known for its scenic foreshore, jetty, and relaxed residential atmosphere.
  • B. Blackridge
    Blackridge is a village in West Lothian, Scotland, situated between Bathgate and Armadale with a largely residential and commuter community.
  • C. Hensleigh
    Hensleigh is a masculine given name of English origin, notably borne by the 19th-century philologist and etymologist Hensleigh Wedgwood.
  • D. Hooper
    Hooper is a surname most notably associated with Harry Hooper, a Hall of Fame Major League Baseball right fielder from the early 20th century.
  • E. Hawkins
    Hawkins is a common English-language surname borne by numerous notable figures across fields such as music, sports, politics, and entertainment.
  • 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: Harker
Triple: [Susannah Harker, familyName, Harker]
Generated description
Harker is a surname of English origin borne by various notable individuals, including actors, writers, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harker
Target entity description: Harker is a surname of English origin borne by various notable individuals, including actors, writers, and public figures.
  • A. Nightcliff
    Nightcliff is a coastal suburb of Darwin in Australia's Northern Territory, known for its scenic foreshore, jetty, and relaxed residential atmosphere.
  • B. Blackridge
    Blackridge is a village in West Lothian, Scotland, situated between Bathgate and Armadale with a largely residential and commuter community.
  • C. Hensleigh
    Hensleigh is a masculine given name of English origin, notably borne by the 19th-century philologist and etymologist Hensleigh Wedgwood.
  • D. Hooper
    Hooper is a surname most notably associated with Harry Hooper, a Hall of Fame Major League Baseball right fielder from the early 20th century.
  • E. Hawkins
    Hawkins is a common English-language surname borne by numerous notable figures across fields such as music, sports, politics, and entertainment.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1ae8f08190880d0f0e8539cdbc completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2625a22148190927b2a63ae3fc726 completed March 12, 2026, 6:51 a.m.
NEDg Description generation batch_69b264c6022c81908b3235e88a7ed27f completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b268bd0d3c8190a60dda0a9086c0cc completed March 12, 2026, 7:18 a.m.
Created at: March 8, 2026, 3:08 p.m.