Triple
T19331744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fan Wei |
E483512
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fan |
—
|
NE NERFINISHED |
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: Fan | Statement: [Fan Wei, familyName, Fan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fan Context triple: [Fan Wei, familyName, Fan]
-
A.
Fan
chosen
Fan is a common Chinese surname borne by numerous historical and contemporary figures across politics, arts, sports, and other fields.
-
B.
Fan Hir
Fan Hir is a long, narrow ridge and mountain in the Brecon Beacons of South Wales, popular with hikers for its dramatic escarpments and expansive views.
-
C.
Fanfan
Fanfan is a romantic film best known for starring French actress Sophie Marceau.
-
D.
Follower
"Follower" is a well-known poem by Seamus Heaney that reflects on his childhood admiration for his father’s skilled farm work and his own feelings of clumsiness and later role reversal.
-
E.
FAN
FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e616422fa08190bf4bde4312ec7cf3 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.