Triple
T4673178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wade |
E103612
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Thomas Wade |
E417001
|
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: Thomas Wade | Statement: [Wade, hasNotableBearer, Thomas Wade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Wade Context triple: [Wade, hasNotableBearer, Thomas Wade]
-
A.
Thomas Francis Wade
chosen
Thomas Francis Wade was a 19th-century British diplomat and sinologist best known for developing the Wade–Giles system of romanizing Chinese.
-
B.
Cecil Chao
Cecil Chao is a Hong Kong billionaire property developer best known internationally for offering large monetary rewards to any man who could successfully marry his lesbian daughter.
-
C.
Alfred Chuang
Alfred Chuang is a Chinese-American technology entrepreneur best known as the co-founder and former CEO of enterprise software company BEA Systems.
-
D.
William Wang
William Wang is a Taiwanese-American entrepreneur best known as the founder and longtime CEO of the consumer electronics company Vizio.
-
E.
Louis Ozawa Changchien
Louis Ozawa Changchien is an American actor known for his roles in films like "Predators" and "The Bourne Legacy" as well as various television series.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6351ca8c8190871b9bebdb7ab88d |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be039896448190bdfd3a6cb76a8fbe |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:15 p.m.