Triple
T14339403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhang Yitang |
E355552
|
entity |
| Predicate | yearOfNotableResult |
P40005
|
FINISHED |
| Object | 2013 |
—
|
LITERAL 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: 2013 | Statement: [Zhang Yitang, yearOfNotableResult, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfNotableResult Context triple: [Zhang Yitang, yearOfNotableResult, 2013]
-
A.
notableWorkYear
chosen
Indicates the year in which a notable work associated with an entity was created, released, or achieved prominence.
-
B.
notableProjectYear
Indicates the year in which a notable project associated with an entity took place, was created, or was prominently recognized.
-
C.
notableProductionYear
Indicates the year in which an entity produced something considered notable or significant.
-
D.
yearOfNotableSpeech
Indicates the specific year in which an entity delivered a notable or significant speech.
-
E.
notableAwardedFor
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
- F. None of above.
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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8674c0819091dfbe9c50778c5e |
completed | April 14, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:14 a.m.