Triple
T11672836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongren |
E277421
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Chou |
E756287
|
NE FINISHED |
How this triple was built (2 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: Chou | Statement: [Hongren, birthName, Chou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chou Context triple: [Hongren, birthName, Chou]
-
A.
Chou
Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
-
B.
Chou
Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
-
C.
Chou
chosen
Chou is an alternative romanization of the Chinese surname and dynasty name commonly spelled "Zhou" in pinyin.
-
D.
Chouchou
Chouchou was the affectionate nickname of Claude Debussy’s young daughter, to whom he dedicated his piano suite "Children’s Corner."
-
E.
Chuncho
"Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a443b6848190a1eb6825fbc49d08 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13e1b3d8819085ea806280ed69d3 |
completed | April 27, 2026, 7:44 a.m. |
Created at: April 8, 2026, 9:40 p.m.