Triple

T6185328
Position Surface form Disambiguated ID Type / Status
Subject Velvet Brown E138040 entity
Predicate closeFriend P8712 FINISHED
Object Mi Taylor
Mi Taylor is a key character in the novel and film "National Velvet," known as the resourceful former jockey who helps Velvet Brown train and race her horse.
 E572364 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: Mi Taylor | Statement: [Velvet Brown, closeFriend, Mi Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mi Taylor
Context triple: [Velvet Brown, closeFriend, Mi Taylor]
  • A. Dub Taylor
    Dub Taylor was an American character actor best known for his prolific work in Westerns and supporting roles in film and television from the 1930s through the 1990s.
  • B. Lee Taylor
    Lee Taylor is a fictional character appearing in the "Doctor X" universe.
  • C. Jen Taylor
    Jen Taylor is an American voice actress best known for portraying Princess Peach in the Super Mario series and Cortana in the Halo franchise.
  • D. La Mar Taylor
    La Mar Taylor is a Canadian creative director and music executive best known for co-founding XO Records and shaping the visual and brand identity of The Weeknd.
  • E. Mina Miller
    Mina Miller was an American socialite and philanthropist best known as the second wife of inventor Thomas Edison and for her extensive civic and charitable work.
  • 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: Mi Taylor
Triple: [Velvet Brown, closeFriend, Mi Taylor]
Generated description
Mi Taylor is a key character in the novel and film "National Velvet," known as the resourceful former jockey who helps Velvet Brown train and race her horse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mi Taylor
Target entity description: Mi Taylor is a key character in the novel and film "National Velvet," known as the resourceful former jockey who helps Velvet Brown train and race her horse.
  • A. Dub Taylor
    Dub Taylor was an American character actor best known for his prolific work in Westerns and supporting roles in film and television from the 1930s through the 1990s.
  • B. Lee Taylor
    Lee Taylor is a fictional character appearing in the "Doctor X" universe.
  • C. Jen Taylor
    Jen Taylor is an American voice actress best known for portraying Princess Peach in the Super Mario series and Cortana in the Halo franchise.
  • D. La Mar Taylor
    La Mar Taylor is a Canadian creative director and music executive best known for co-founding XO Records and shaping the visual and brand identity of The Weeknd.
  • E. Mina Miller
    Mina Miller was an American socialite and philanthropist best known as the second wife of inventor Thomas Edison and for her extensive civic and charitable work.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062150fc48190877240abe6b6c636 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141ca916c8190bd1ca46f2b8c9c18 completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c1453b3db48190947260bd4431e8d7 completed March 23, 2026, 1:50 p.m.
NED2 Entity disambiguation (via description) batch_69c145c93c1c819096feefc952ba1301 completed March 23, 2026, 1:53 p.m.
Created at: March 22, 2026, 4:19 p.m.