Triple

T20981373
Position Surface form Disambiguated ID Type / Status
Subject Polydeuces E516771 entity
Predicate hasHorse P13551 FINISHED
Object Kyllaros
Kyllaros is the famed horse of the hero Polydeuces (one of the Dioscuri) in Greek mythology, renowned for its exceptional speed and beauty.
E1463211 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: Kyllaros | Statement: [Polydeuces, hasHorse, Kyllaros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyllaros
Context triple: [Polydeuces, hasHorse, Kyllaros]
  • A. Korissos
    Korissos is a locality in Greece, also known by the alternative name Korissia.
  • B. Almyros
    Almyros is a coastal town in central Greece, near the Pagasetic Gulf, known for its agricultural production and proximity to both seaside and mountainous landscapes.
  • C. Klyntar
    Klyntar are an alien symbiote species in Marvel Comics known for bonding with hosts to enhance their abilities while often exerting a corrupting influence.
  • D. Kamiros
    Kamiros is an ancient city and archaeological site on the northwest coast of Rhodes, known for its well-preserved Hellenistic ruins and grid-planned layout.
  • E. Arycanda
    Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
  • 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: Kyllaros
Triple: [Polydeuces, hasHorse, Kyllaros]
Generated description
Kyllaros is the famed horse of the hero Polydeuces (one of the Dioscuri) in Greek mythology, renowned for its exceptional speed and beauty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kyllaros
Target entity description: Kyllaros is the famed horse of the hero Polydeuces (one of the Dioscuri) in Greek mythology, renowned for its exceptional speed and beauty.
  • A. Korissos
    Korissos is a locality in Greece, also known by the alternative name Korissia.
  • B. Almyros
    Almyros is a coastal town in central Greece, near the Pagasetic Gulf, known for its agricultural production and proximity to both seaside and mountainous landscapes.
  • C. Klyntar
    Klyntar are an alien symbiote species in Marvel Comics known for bonding with hosts to enhance their abilities while often exerting a corrupting influence.
  • D. Kamiros
    Kamiros is an ancient city and archaeological site on the northwest coast of Rhodes, known for its well-preserved Hellenistic ruins and grid-planned layout.
  • E. Arycanda
    Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbdea4988190bd091a5434acc376 completed April 21, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a094736cde48190b4f724d807fd8097 completed May 17, 2026, 4:42 a.m.
NEDg Description generation batch_6a0948d68210819092b29e97af6464b5 completed May 17, 2026, 4:49 a.m.
NED2 Entity disambiguation (via description) batch_6a094931b1f8819088ad7575eddde0a4 completed May 17, 2026, 4:50 a.m.
Created at: April 16, 2026, 1:48 p.m.