Triple
T7946798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qu Yuan |
E184517
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Qu |
E439968
|
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: Qu | Statement: [Qu Yuan, familyName, Qu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qu Context triple: [Qu Yuan, familyName, Qu]
-
A.
Qu
chosen
Qu is a Chinese surname shared by various notable figures in politics, science, and the arts.
-
B.
QU
QU is a common abbreviation for Queen's University at Kingston, a major public research university in Kingston, Ontario, Canada.
-
C.
QR
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
-
D.
Q
The Q is a New York City Subway service that runs along the BMT Broadway Line in Manhattan and the Brighton Line in Brooklyn, providing crosstown and interborough transit.
-
E.
Q
Q is a recurring comedic character from the James Bond film series, known as the eccentric head of MI6's gadget and technology division.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe02faa308190aeba83cc6cb96153 |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:09 p.m.