Triple

T9355390
Position Surface form Disambiguated ID Type / Status
Subject Dave Silk E225125 entity
Predicate familyName P18 FINISHED
Object Silk
Silk is a surname of English origin borne by various individuals, including American ice hockey player Dave Silk.
 E793401 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: Silk | Statement: [Dave Silk, familyName, Silk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silk
Context triple: [Dave Silk, familyName, Silk]
  • A. Silk
    Silk is a British legal drama television series centered on the personal and professional lives of barristers in London.
  • B. Silk
    Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
  • C. Silk
    Silk is an American R&B group best known for their smooth harmonies and 1990s slow jams like the hit single "Freak Me."
  • D. Silken Floss
    Silken Floss is a stylish and enigmatic femme fatale and scientist who serves as one of the main villains in the 2008 superhero film "The Spirit."
  • E. Сатин
    Сатин — один из центральных персонажей пьесы Максима Горького «На дне», философствующий босяк, чьи циничные, но проникновенные монологи выражают ключевые идеи произведения о правде и человеческом достоинстве.
  • 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: Silk
Triple: [Dave Silk, familyName, Silk]
Generated description
Silk is a surname of English origin borne by various individuals, including American ice hockey player Dave Silk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Silk
Target entity description: Silk is a surname of English origin borne by various individuals, including American ice hockey player Dave Silk.
  • A. Silk
    Silk is a British legal drama television series centered on the personal and professional lives of barristers in London.
  • B. Silk
    Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
  • C. Silk
    Silk is an American R&B group best known for their smooth harmonies and 1990s slow jams like the hit single "Freak Me."
  • D. Silken Floss
    Silken Floss is a stylish and enigmatic femme fatale and scientist who serves as one of the main villains in the 2008 superhero film "The Spirit."
  • E. Сатин
    Сатин — один из центральных персонажей пьесы Максима Горького «На дне», философствующий босяк, чьи циничные, но проникновенные монологи выражают ключевые идеи произведения о правде и человеческом достоинстве.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f99205c8190a5ad95926ef25497 completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e458a24881909a032553ce8a45fe completed April 4, 2026, 10:13 a.m.
NEDg Description generation batch_69d0e5760c0c8190b01a36772cea3058 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e616d350819086465c7e491b6e62 completed April 4, 2026, 10:21 a.m.
Created at: March 30, 2026, 7:42 p.m.