Triple
T586694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fumihito, Crown Prince Akishino |
E15171
|
entity |
| Predicate | interest |
P1074
|
FINISHED |
| Object | ornithology |
—
|
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: ornithology | Statement: [Fumihito, Crown Prince Akishino, interest, ornithology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interest Context triple: [Fumihito, Crown Prince Akishino, interest, ornithology]
-
A.
is
Indicates that two entities are equivalent, share an attribute, or stand in a specified state or relation to each other.
-
B.
loveInterest
Indicates that one entity is the romantic object of affection or attraction for another entity.
-
C.
issue
Indicates that an entity formally publishes, releases, or distributes something, such as a document, statement, or item, often in an official or authoritative capacity.
-
D.
traction
Indicates the degree to which one entity’s movement or influence effectively grips, pulls, or gains momentum relative to another entity or medium.
-
E.
representsInterestOf
chosen
Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9bf0cc8190a145ccd6fc501349 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494ca68448190a516b9c3525d8916 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.