Triple
T8774364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhou |
E208540
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Chow |
E261327
|
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: Chow | Statement: [Zhou, hasVariantSpelling, Chow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chow Context triple: [Zhou, hasVariantSpelling, Chow]
-
A.
Chow
chosen
Chow is a common Chinese surname borne by many notable individuals across various fields worldwide.
-
B.
Chowdur
Chowdur is a historical Turkmen tribe known as one of the traditional tribal groupings that helped shape Turkmen ethnic and cultural identity in Central Asia.
-
C.
Kibble
Kibble is a surname most notably associated with British theoretical physicist Tom Kibble, known for his work on the Higgs mechanism and spontaneous symmetry breaking.
-
D.
Chocho
Chocho is an indigenous Oto-Manguean language spoken in Oaxaca, Mexico, known for its complex tonal system and endangered status.
-
E.
Chien
Chien is a Chinese surname shared by various notable individuals across fields such as science, politics, and the arts.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2ef3288190988bd69e8a02e741 |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51c760b48190b2138cd2861b2c61 |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:41 p.m.