Triple

T11266322
Position Surface form Disambiguated ID Type / Status
Subject Ashford Stud E266694 entity
Predicate hasStoodStallion P55481 FINISHED
Object Cupid
Cupid is an American Thoroughbred racehorse known for his graded stakes victories and subsequent career as a breeding stallion.
 E915024 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: Cupid | Statement: [Ashford Stud, hasStoodStallion, Cupid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cupid
Context triple: [Ashford Stud, hasStoodStallion, Cupid]
  • A. Cupid
    Cupid is one of Santa Claus’s traditional flying reindeer, typically depicted pulling his sleigh on Christmas Eve.
  • B. Cupid
    Cupid is the Roman god of love and desire, traditionally depicted as a winged boy whose arrows cause people to fall in love.
  • C. Cupids
    Cupids is a small historic town in Newfoundland and Labrador, Canada, recognized as one of the earliest English settlements in North America.
  • D. Venus and Cupid
    "Venus and Cupid" is a Renaissance painting by Lucas Cranach the Elder depicting the Roman goddess of love with her son Cupid in a sensual, allegorical composition characteristic of the artist’s courtly style.
  • E. Eros
    Eros is a loyal attendant to Mark Antony in Shakespeare’s tragedy "Antony and Cleopatra," known for his devotion and tragic death.
  • 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: Cupid
Triple: [Ashford Stud, hasStoodStallion, Cupid]
Generated description
Cupid is an American Thoroughbred racehorse known for his graded stakes victories and subsequent career as a breeding stallion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cupid
Target entity description: Cupid is an American Thoroughbred racehorse known for his graded stakes victories and subsequent career as a breeding stallion.
  • A. Cupid
    Cupid is one of Santa Claus’s traditional flying reindeer, typically depicted pulling his sleigh on Christmas Eve.
  • B. Cupid
    Cupid is the Roman god of love and desire, traditionally depicted as a winged boy whose arrows cause people to fall in love.
  • C. Cupids
    Cupids is a small historic town in Newfoundland and Labrador, Canada, recognized as one of the earliest English settlements in North America.
  • D. Venus and Cupid
    "Venus and Cupid" is a Renaissance painting by Lucas Cranach the Elder depicting the Roman goddess of love with her son Cupid in a sensual, allegorical composition characteristic of the artist’s courtly style.
  • E. Eros
    Eros is a loyal attendant to Mark Antony in Shakespeare’s tragedy "Antony and Cleopatra," known for his devotion and tragic death.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccc7fdc48190a84b8b584f67b464 completed April 19, 2026, 12:38 p.m.
NEDg Description generation batch_69e4d9ed6a048190ae7476d44cee6a6e completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4ddb1b4c8819087699bc73610c7f8 completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:31 p.m.