Triple
T13872619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Minxia |
E333491
|
entity |
| Predicate | isMultiple |
P62241
|
FINISHED |
| Object | multiple Olympic gold medalist |
—
|
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: multiple Olympic gold medalist | Statement: [Wu Minxia, isMultiple, multiple Olympic gold medalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMultiple Context triple: [Wu Minxia, isMultiple, multiple Olympic gold medalist]
-
A.
hasMultiple
chosen
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
B.
isMultiPurpose
Indicates that something is designed or used to serve multiple functions or purposes rather than a single, specialized one.
-
C.
isSingle
Indicates that an entity is not currently in a romantic relationship or legally married.
-
D.
isMultipleOf
Indicates that one quantity is an exact integer multiple of another, with no remainder.
-
E.
multipleUnit
Indicates that an entity is composed of or associated with more than one unit of the same type.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.