Triple

T19413348
Position Surface form Disambiguated ID Type / Status
Subject WS (White Snow) E485645 entity
Predicate hasTitle P38 FINISHED
Object WS
WS is an abbreviation that in this context refers to "White Snow," likely a stylized or shortened title for a work or character by that name.
 E1374858 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: WS | Statement: [WS (White Snow), hasTitle, WS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WS
Context triple: [WS (White Snow), hasTitle, WS]
  • A. WS
    WS is the two-letter ISO 3166-1 alpha-2 country code assigned to Samoa.
  • B. WS
    WS is the postcode area in the United Kingdom that covers Walsall and surrounding regions in the West Midlands.
  • C. WS
    WS is a professional postnominal title used by members of the Society of Writers to His Majesty’s Signet, an historic and prestigious association of Scottish solicitors.
  • D. WS
    WS is the international governing body for the sport of sailing, responsible for overseeing rules, competitions, and global development of the sport.
  • E. WS3
    WS3 is a postal district within the WS postcode area in the West Midlands region of England, covering parts of Walsall and its surrounding localities.
  • 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: WS
Triple: [WS (White Snow), hasTitle, WS]
Generated description
WS is an abbreviation that in this context refers to "White Snow," likely a stylized or shortened title for a work or character by that name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WS
Target entity description: WS is an abbreviation that in this context refers to "White Snow," likely a stylized or shortened title for a work or character by that name.
  • A. WS
    WS is the two-letter ISO 3166-1 alpha-2 country code assigned to Samoa.
  • B. WS
    WS is the postcode area in the United Kingdom that covers Walsall and surrounding regions in the West Midlands.
  • C. WS
    WS is a professional postnominal title used by members of the Society of Writers to His Majesty’s Signet, an historic and prestigious association of Scottish solicitors.
  • D. WS
    WS is the international governing body for the sport of sailing, responsible for overseeing rules, competitions, and global development of the sport.
  • E. WS3
    WS3 is a postal district within the WS postcode area in the West Midlands region of England, covering parts of Walsall and its surrounding localities.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af77eb481909fcfb6cdde1e8580 completed April 20, 2026, 1:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733cbd51c819091d81588491924a1 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0735004ef4819083d92bd915bbef77 completed May 15, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a07357ba4848190bf4be4a02242d5b0 completed May 15, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:37 p.m.