Triple
T4013787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhengyia |
E90706
|
entity |
| Predicate | isLittleKnown |
P43114
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Zhengyia, isLittleKnown, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLittleKnown Context triple: [Zhengyia, isLittleKnown, true]
-
A.
isLesserKnownWork
Indicates that one work is relatively less famous, recognized, or widely known compared to other works (typically by the same creator or within the same domain).
-
B.
isLesserKnownWorkOf
Indicates that one work is a less famous or less widely recognized creation of a particular creator or artist.
-
C.
hasLimitedRecognition
chosen
Indicates that the subject is acknowledged or accepted only to a small extent, in restricted contexts, or by a limited audience.
-
D.
isLessCommonThan
Indicates that one item occurs, appears, or is observed less frequently than another item.
-
E.
knownFrom
Indicates that one entity is aware of, has learned about, or recognizes another entity through a specified source, context, or medium.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fa6fec81909b1190ecbba61410 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.