Triple

T2907926
Position Surface form Disambiguated ID Type / Status
Subject Phrygia E63610 entity
Predicate notableRuler P22 FINISHED
Object King Midas
King Midas is a legendary Phrygian king in Greek mythology best known for his fabled ability to turn everything he touched into gold.
E309424 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: King Midas | Statement: [Phrygia, notableRuler, King Midas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Midas
Context triple: [Phrygia, notableRuler, King Midas]
  • A. Gyges
    Gyges is one of the three Hecatoncheires in Greek mythology, a primordial giant with a hundred hands and fifty heads who aided the Olympian gods in their battle against the Titans.
  • B. King Solomon
    King Solomon is a biblical king of ancient Israel renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • C. King Ergamenes
    King Ergamenes was a reformist ruler of the ancient Nubian kingdom of Meroë, known for breaking priestly power and reshaping the monarchy’s authority.
  • D. Hercules
    Hercules is a prominent northern-sky constellation named after the mythological Greek hero, known for containing the bright globular cluster Messier 13.
  • E. Hercules
    Hercules is a historic steam-powered tugboat preserved as a museum ship in San Francisco, showcasing early 20th-century maritime industry and engineering.
  • 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: King Midas
Triple: [Phrygia, notableRuler, King Midas]
Generated description
King Midas is a legendary Phrygian king in Greek mythology best known for his fabled ability to turn everything he touched into gold.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: King Midas
Target entity description: King Midas is a legendary Phrygian king in Greek mythology best known for his fabled ability to turn everything he touched into gold.
  • A. Gyges
    Gyges is one of the three Hecatoncheires in Greek mythology, a primordial giant with a hundred hands and fifty heads who aided the Olympian gods in their battle against the Titans.
  • B. King Solomon
    King Solomon is a biblical king of ancient Israel renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • C. King Ergamenes
    King Ergamenes was a reformist ruler of the ancient Nubian kingdom of Meroë, known for breaking priestly power and reshaping the monarchy’s authority.
  • D. Hercules
    Hercules is a prominent northern-sky constellation named after the mythological Greek hero, known for containing the bright globular cluster Messier 13.
  • E. Hercules
    Hercules is a historic steam-powered tugboat preserved as a museum ship in San Francisco, showcasing early 20th-century maritime industry and engineering.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d1dcf881909b3ae58d7cdfd9cd completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b056173a988190be02619d909cdb25 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b05f640afc8190bf9b5b90ff7c9b0e completed March 10, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b06010c1948190a2e13084a79b106b completed March 10, 2026, 6:16 p.m.
Created at: March 6, 2026, 10:11 p.m.