Triple

T18320441
Position Surface form Disambiguated ID Type / Status
Subject Steve Asmussen E438860 entity
Predicate trained P3665 FINISHED
Object Midnight Bisou
Midnight Bisou is a champion American Thoroughbred racehorse and multiple Grade 1-winning mare renowned for her consistency and dominance in the filly and mare division.
E1317844 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: Midnight Bisou | Statement: [Steve Asmussen, trained, Midnight Bisou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midnight Bisou
Context triple: [Steve Asmussen, trained, Midnight Bisou]
  • A. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • B. Screaming Mimi
    Screaming Mimi is a member of the vampiric, psychic predator group known as the True Knot in Stephen King’s novel "Doctor Sleep."
  • C. Missy
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • D. Missy
    Missy is a small Swiss municipality located in the canton of Vaud.
  • E. Missy
    Missy is the affectionate nickname of Queen Marie of Romania, the influential early 20th-century queen consort known for her political influence, diplomacy, and cultural impact in Romania.
  • 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: Midnight Bisou
Triple: [Steve Asmussen, trained, Midnight Bisou]
Generated description
Midnight Bisou is a champion American Thoroughbred racehorse and multiple Grade 1-winning mare renowned for her consistency and dominance in the filly and mare division.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Midnight Bisou
Target entity description: Midnight Bisou is a champion American Thoroughbred racehorse and multiple Grade 1-winning mare renowned for her consistency and dominance in the filly and mare division.
  • A. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • B. Screaming Mimi
    Screaming Mimi is a member of the vampiric, psychic predator group known as the True Knot in Stephen King’s novel "Doctor Sleep."
  • C. Missy
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • D. Missy
    Missy is a small Swiss municipality located in the canton of Vaud.
  • E. Missy
    Missy is the affectionate nickname of Queen Marie of Romania, the influential early 20th-century queen consort known for her political influence, diplomacy, and cultural impact in Romania.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa5a3508190a3025e71c11d79e2 completed April 19, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4c6094881909add4e2fe99a1bba completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c52d0ba48190845d461df02c3aa3 completed May 13, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_6a03c5dd07488190ae04c6b406ab29c9 completed May 13, 2026, 12:29 a.m.
Created at: April 10, 2026, 10:36 a.m.