Triple

T8495073
Position Surface form Disambiguated ID Type / Status
Subject Lord Valentine’s Castle E201076 entity
Predicate hasCharacter P2308 FINISHED
Object Sleet
Sleet is a character from Robert Silverberg’s science fantasy novel "Lord Valentine’s Castle," set on the richly imagined world of Majipoor.
 E737336 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: Sleet | Statement: [Lord Valentine’s Castle, hasCharacter, Sleet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sleet
Context triple: [Lord Valentine’s Castle, hasCharacter, Sleet]
  • A. Snow
    "Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
  • B. Snow
    Snow is a white color variant of the iMac G3, known for its clean, minimalist appearance among the line’s iconic translucent and colorful designs.
  • C. Snow
    "Snow" is a notable abstract painting by British artist Howard Hodgkin, recognized for its expressive brushwork and evocative use of color to suggest memory and atmosphere.
  • D. Snow
    "Snow" is a song featured on the album *Back to Scratch* by Welsh singer-songwriter Charlotte Church.
  • E. Snow
    Snow is a common English surname borne by various notable figures in literature, science, and public life.
  • 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: Sleet
Triple: [Lord Valentine’s Castle, hasCharacter, Sleet]
Generated description
Sleet is a character from Robert Silverberg’s science fantasy novel "Lord Valentine’s Castle," set on the richly imagined world of Majipoor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sleet
Target entity description: Sleet is a character from Robert Silverberg’s science fantasy novel "Lord Valentine’s Castle," set on the richly imagined world of Majipoor.
  • A. Snow
    "Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
  • B. Snow
    "Snow" is a notable abstract painting by British artist Howard Hodgkin, recognized for its expressive brushwork and evocative use of color to suggest memory and atmosphere.
  • C. Snow
    Snow is a white color variant of the iMac G3, known for its clean, minimalist appearance among the line’s iconic translucent and colorful designs.
  • D. Snow
    Snow is a common English surname borne by various notable figures in literature, science, and public life.
  • E. Snow
    "Snow" is a song featured on the album *Back to Scratch* by Welsh singer-songwriter Charlotte Church.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe57c01f881908cb77c8c834ac08d completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a6117988190b8c667d4263f3e86 completed April 2, 2026, 9:44 a.m.
NEDg Description generation batch_69ce3d0323248190a076a209df98c96c completed April 2, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69ce3d7909f48190a46f58fca75d7740 completed April 2, 2026, 9:57 a.m.
Created at: March 30, 2026, 6:13 p.m.