Triple

T13759665
Position Surface form Disambiguated ID Type / Status
Subject Sandy E330569 entity
Predicate hasPostTown P2711 FINISHED
Object SANDY
SANDY is a town in Bedfordshire, England, known for its historic market character and proximity to the headquarters of the Royal Society for the Protection of Birds.
 E1062733 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: SANDY | Statement: [Sandy, hasPostTown, SANDY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SANDY
Context triple: [Sandy, hasPostTown, SANDY]
  • A. Sandy
    Sandy is a common nickname or short form of the given name Alexander.
  • B. Sandy
    Sandy is a suburban city in the Salt Lake City metropolitan area of Utah, known for its residential communities and proximity to outdoor recreation in the nearby Wasatch Mountains.
  • C. Sandy
    Sandy is a central character in the story featuring Annie, often portrayed as her loyal and beloved dog companion.
  • D. Sandy
    Sandy is the commonly used nickname of Sandy Brondello, an Australian former professional basketball player and current WNBA head coach.
  • E. Sandy
    Sandy is a central female character in the 1971 film "Carnal Knowledge," representing one of the key romantic relationships that illuminate the protagonists’ evolving attitudes toward sex and intimacy.
  • 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: SANDY
Triple: [Sandy, hasPostTown, SANDY]
Generated description
SANDY is a town in Bedfordshire, England, known for its historic market character and proximity to the headquarters of the Royal Society for the Protection of Birds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SANDY
Target entity description: SANDY is a town in Bedfordshire, England, known for its historic market character and proximity to the headquarters of the Royal Society for the Protection of Birds.
  • A. Sandy
    Sandy is a common nickname or short form of the given name Alexander.
  • B. Sandy
    Sandy is the commonly used nickname of Sandy Brondello, an Australian former professional basketball player and current WNBA head coach.
  • C. Sandy
    Sandy is a central female character in the 1971 film "Carnal Knowledge," representing one of the key romantic relationships that illuminate the protagonists’ evolving attitudes toward sex and intimacy.
  • D. Sandy
    Sandy is a fictional character from Mark Twain’s satirical novel "A Connecticut Yankee in King Arthur’s Court," known as a medieval woman who becomes the companion and later wife of the time-traveling protagonist.
  • E. Sandy
    Sandy is a central character in the story featuring Annie, often portrayed as her loyal and beloved dog companion.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0223ab9081909db05334860405e0 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b06faed88190abc44e6256cb9301 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b45e86b08190bde93be8c849a7bd completed May 3, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69f7b4ed81b08190b863589f19a2ec03 completed May 3, 2026, 8:49 p.m.
Created at: April 9, 2026, 10:09 p.m.