Triple
T17006435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chàhn |
E412582
|
entity |
| Predicate | correspondsToEnglishSpelling |
P126165
|
FINISHED |
| Object | Chan |
E14920
|
NE FINISHED |
How this triple was built (3 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: Chan | Statement: [Chàhn, correspondsToEnglishSpelling, Chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chan Context triple: [Chàhn, correspondsToEnglishSpelling, Chan]
-
A.
Chan
chosen
Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
-
B.
Cha
Cha is the Korean family name of Theresa Hak Kyung Cha, the avant-garde artist and writer best known for her experimental book "Dictee."
-
C.
Cho
Cho is a common Korean surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
-
D.
CHAN
CHAN is the commonly used acronym for the African Nations Championship, a continental football tournament featuring national teams composed exclusively of players active in their domestic leagues.
-
E.
Chen
Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToEnglishSpelling Context triple: [Chàhn, correspondsToEnglishSpelling, Chan]
-
A.
correspondsToEnglishLetter
Indicates that one entity is the English alphabet letter that matches, represents, or is equivalent to the other entity.
-
B.
usesFixedSpellingsForCommonSyllables
Indicates that an entity consistently applies predetermined, standard spellings for frequently occurring syllables.
-
C.
correspondsToLatinWord
Indicates that one element is the equivalent or matching term of another element in Latin.
-
D.
spellingStyle
Indicates the particular orthographic convention or system of spelling that is used or preferred in a given context.
-
E.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d3831268819089286053a5acf653 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc2035848190bf299875d37c8ac7 |
completed | May 10, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.