Triple
T22924829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liguo |
E569273
|
entity |
| Predicate | hasNameBearersInField |
P116510
|
FINISHED |
| Object | academia |
—
|
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: academia | Statement: [Liguo, hasNameBearersInField, academia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameBearersInField Context triple: [Liguo, hasNameBearersInField, academia]
-
A.
hasNotableFieldOfBearers
Indicates that the entities share a significant or distinguished area of activity, expertise, or achievement associated with their bearers.
-
B.
hasGivenNameOfBearer
Indicates that a bearer (such as a person or entity) has a specific given (first) name.
-
C.
typicalNameBearers
chosen
Indicates that the subject is a common or characteristic name borne by the entities in the object set.
-
D.
hasSurnameBearer
Indicates that a particular surname is borne or carried by a specific person or entity.
-
E.
hasNotableBearersType
Indicates that an entity has notable bearers belonging to a specified type or category.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d84fc08190b747c3f9052c657a |
completed | April 29, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:43 p.m.