Triple

T10020325
Position Surface form Disambiguated ID Type / Status
Subject Goldwin Smith E200594 entity
Predicate givenName P17 FINISHED
Object Goldwin
Goldwin is a masculine given name most notably borne by the 19th-century British historian and journalist Goldwin Smith.
 E836375 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: Goldwin | Statement: [Goldwin Smith, givenName, Goldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goldwin
Context triple: [Goldwin Smith, givenName, Goldwin]
  • A. Brandt
    Brandt is the obsequious personal assistant to the wealthy Jeffrey Lebowski in the cult film "The Big Lebowski," often serving as a nervous intermediary between him and the Dude.
  • B. Koss
    Koss is a Norwegian surname most notably associated with Johann Olav Koss, the Olympic gold medal–winning speed skater and humanitarian.
  • C. Braun
    Braun is a German surname most infamously associated with Eva Braun, the longtime companion and brief wife of Adolf Hitler.
  • D. Skagen
    Skagen is a minimalist Danish-inspired watch and accessories brand known for its clean design aesthetic and modern, affordable timepieces.
  • E. Skagen
    Skagen is Denmark’s northernmost town, renowned for its picturesque fishing harbor, distinctive yellow houses, and the scenic meeting point of the North Sea and Baltic Sea.
  • 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: Goldwin
Triple: [Goldwin Smith, givenName, Goldwin]
Generated description
Goldwin is a masculine given name most notably borne by the 19th-century British historian and journalist Goldwin Smith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goldwin
Target entity description: Goldwin is a masculine given name most notably borne by the 19th-century British historian and journalist Goldwin Smith.
  • A. Brandt
    Brandt is the obsequious personal assistant to the wealthy Jeffrey Lebowski in the cult film "The Big Lebowski," often serving as a nervous intermediary between him and the Dude.
  • B. Koss
    Koss is a Norwegian surname most notably associated with Johann Olav Koss, the Olympic gold medal–winning speed skater and humanitarian.
  • C. Braun
    Braun is a German surname most infamously associated with Eva Braun, the longtime companion and brief wife of Adolf Hitler.
  • D. Skagen
    Skagen is a minimalist Danish-inspired watch and accessories brand known for its clean design aesthetic and modern, affordable timepieces.
  • E. Skagen
    Skagen is Denmark’s northernmost town, renowned for its picturesque fishing harbor, distinctive yellow houses, and the scenic meeting point of the North Sea and Baltic Sea.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd777b208190ad75eac79eec0c2f completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ab241848190a97dea745f6d2324 completed April 5, 2026, 1:59 p.m.
NEDg Description generation batch_69d26b84271881909c3a1b8a05e2c8a2 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26f50dc008190866f0ba45b671560 completed April 5, 2026, 2:18 p.m.
Created at: March 30, 2026, 8:53 p.m.