Triple
T3472318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Academy |
E73290
|
entity |
| Predicate | hasHonoraryMember |
P49169
|
FINISHED |
| Object | foreign scholar |
—
|
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: foreign scholar | Statement: [Japan Academy, hasHonoraryMember, foreign scholar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHonoraryMember Context triple: [Japan Academy, hasHonoraryMember, foreign scholar]
-
A.
hasHonoraryTitle
Indicates that an entity has been granted a formal honorary title or distinction, typically in recognition of merit or achievement.
-
B.
honoraryAwardsEligibleFor
Indicates that an entity qualifies to receive one or more honorary awards.
-
C.
hasHonorificStatus
Indicates that an entity holds or is assigned a particular honorific title, rank, or status in relation to another entity.
-
D.
isHonorSocietyFor
Indicates that an organization functions as an honor society specifically recognizing and serving the members of a particular group or field.
-
E.
includesHonoraryAwardsFor
Indicates that one entity contains or lists honorary awards that have been granted to another entity.
- F. None of above. chosen
Provenance (4 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3cc8488190b97c732e3f600a90 |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:17 p.m.