Triple

T14589633
Position Surface form Disambiguated ID Type / Status
Subject Frank Watson Dyson E342409 entity
Predicate givenName P17 FINISHED
Object Frank
Frank is the given name of Frank Watson Dyson, a prominent British astronomer and former Astronomer Royal.
E1107753 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: Frank | Statement: [Frank Watson Dyson, givenName, Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank
Context triple: [Frank Watson Dyson, givenName, Frank]
  • A. Frank
    Frank is the given first name of the American contemporary street artist and graphic designer Shepard Fairey, known for his iconic "OBEY" and Barack Obama "Hope" posters.
  • B. Frank
    Frank is the given name of British screenwriter and children's author Frank Cottrell-Boyce.
  • C. Frank
    Frank is the critically acclaimed 2003 debut studio album by English singer-songwriter Amy Winehouse, blending jazz, soul, and R&B influences.
  • D. Frank
    Frank is the given name of F. S. Flint, an English poet and critic associated with the early 20th-century Imagist movement.
  • E. Frank
    Frank is the given name of Frank Lampard, the renowned English former professional footballer and manager.
  • 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: Frank
Triple: [Frank Watson Dyson, givenName, Frank]
Generated description
Frank is the given name of Frank Watson Dyson, a prominent British astronomer and former Astronomer Royal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank
Target entity description: Frank is the given name of Frank Watson Dyson, a prominent British astronomer and former Astronomer Royal.
  • A. Frank
    Frank is the given name of Frank Lampard, the renowned English former professional footballer and manager.
  • B. Frank
    Frank is the given name of Frank Brangwyn, a renowned British painter, muralist, and designer associated with the Arts and Crafts movement.
  • C. Frank
    Frank is the given name of Frank H. Westheimer, a prominent American chemist known for his influential work in physical organic chemistry.
  • D. Frank
    Frank is the given name of F. Albert Cotton, a prominent American chemist known for his work in inorganic chemistry and metal–metal bonding.
  • E. Frank
    Frank is the given name of the British philosopher, mathematician, and economist F. P. Ramsey, known for his influential work in logic, probability, and the foundations of mathematics.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4237d88819097f3f9a40f5be152 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c1768881909eebb0dae15ac964 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd95e381948190b162cdd61b4dc353 completed May 8, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd96b9728081909404c21370bde85b completed May 8, 2026, 7:54 a.m.
Created at: April 10, 2026, 1:24 a.m.