Triple

T18110897
Position Surface form Disambiguated ID Type / Status
Subject July Cup E433469 entity
Predicate notableWinner P2766 FINISHED
Object Starman
Starman is a top-class British sprinter racehorse best known for his Group 1 victories over six furlongs.
E1307199 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: Starman | Statement: [July Cup, notableWinner, Starman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starman
Context triple: [July Cup, notableWinner, Starman]
  • A. Starman
    Starman is a temporary invincibility-granting item in the Super Mario series that lets Mario defeat enemies by touching them.
  • B. Starman
    Starman is a legacy DC Comics superhero identity, most famously borne by astronomer-turned-costumed hero Ted Knight and later his descendants, known for wielding a powerful cosmic rod and serving on teams like the Justice Society of America.
  • C. Starman
    Starman is a 1984 science fiction romance film in which Jeff Bridges plays an alien who takes human form and embarks on a cross-country journey with a grieving widow.
  • D. Stardust
    Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale romance and adventure in a magical realm bordering Victorian England.
  • E. Stardust
    Stardust is a 1974 British musical drama film following the rise and fall of a rock star, serving as a sequel to the film "That'll Be the Day."
  • 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: Starman
Triple: [July Cup, notableWinner, Starman]
Generated description
Starman is a top-class British sprinter racehorse best known for his Group 1 victories over six furlongs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Starman
Target entity description: Starman is a top-class British sprinter racehorse best known for his Group 1 victories over six furlongs.
  • A. Starman
    Starman is a temporary invincibility-granting item in the Super Mario series that lets Mario defeat enemies by touching them.
  • B. Starman
    Starman is a legacy DC Comics superhero identity, most famously borne by astronomer-turned-costumed hero Ted Knight and later his descendants, known for wielding a powerful cosmic rod and serving on teams like the Justice Society of America.
  • C. Starman
    Starman is a 1984 science fiction romance film in which Jeff Bridges plays an alien who takes human form and embarks on a cross-country journey with a grieving widow.
  • D. Stardust
    Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale romance and adventure in a magical realm bordering Victorian England.
  • E. Stardust
    Stardust is a 1974 British musical drama film following the rise and fall of a rock star, serving as a sequel to the film "That'll Be the Day."
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd2038081909515fb6d17495cbf completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c3930e0819083b2355a0af67b72 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037dc3a150819085368bcf620e8768 completed May 12, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_6a037e99ae98819087afa088fb42e847 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 10:28 a.m.