Triple

T15524897
Position Surface form Disambiguated ID Type / Status
Subject Yu Darvish E369056 entity
Predicate hasTwitterUsername P2943 FINISHED
Object faridyu
faridyu is the Twitter username of Japanese professional baseball pitcher Yu Darvish, a multiple-time MLB All-Star known for his dominant pitching and diverse repertoire of pitches.
E1161862 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: faridyu | Statement: [Yu Darvish, hasTwitterUsername, faridyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: faridyu
Context triple: [Yu Darvish, hasTwitterUsername, faridyu]
  • A. Fadhli
    Fadhli is a historical tribal region and former sultanate in southern Arabia, in what is now part of Yemen.
  • B. Fad‘an
    Fad‘an is a subtribe of the large and historically influential Arab tribal confederation of Anizah.
  • C. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • D. Fardis
    Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
  • E. al-fay'
    al-fay' refers to property or wealth acquired without direct combat in Islamic law, typically allocated for the benefit of the Muslim community and public welfare.
  • 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: faridyu
Triple: [Yu Darvish, hasTwitterUsername, faridyu]
Generated description
faridyu is the Twitter username of Japanese professional baseball pitcher Yu Darvish, a multiple-time MLB All-Star known for his dominant pitching and diverse repertoire of pitches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: faridyu
Target entity description: faridyu is the Twitter username of Japanese professional baseball pitcher Yu Darvish, a multiple-time MLB All-Star known for his dominant pitching and diverse repertoire of pitches.
  • A. Fadhli
    Fadhli is a historical tribal region and former sultanate in southern Arabia, in what is now part of Yemen.
  • B. Fad‘an
    Fad‘an is a subtribe of the large and historically influential Arab tribal confederation of Anizah.
  • C. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • D. Fardis
    Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
  • E. al-fay'
    al-fay' refers to property or wealth acquired without direct combat in Islamic law, typically allocated for the benefit of the Muslim community and public welfare.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5706948190a1c0f466f7ef8857 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3e5643088190a9b001ef815ddd3a completed May 9, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f4456f88190b7fc9b853b0155e4 completed May 9, 2026, 2:05 p.m.
Created at: April 10, 2026, 4:05 a.m.