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.