Triple
T20666548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takahito, Prince Mikasa |
E507901
|
entity |
| Predicate | knownForLongevity |
P119937
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Takahito, Prince Mikasa, knownForLongevity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForLongevity Context triple: [Takahito, Prince Mikasa, knownForLongevity, yes]
-
A.
longLived
chosen
Indicates that an entity has a lifespan or duration of existence significantly longer than what is typical or expected in its context.
-
B.
enduringLegacy
Indicates that something continues to have a lasting influence, impact, or significance well beyond its original time or context.
-
C.
lifespan
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
D.
namedForKnownFor
Indicates that one entity is named after another entity specifically because that other entity is notable or recognized for something.
-
E.
treeLongevity
Indicates the duration or lifespan of a tree, typically measured from planting or germination to death or removal.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c39dd48190965d65537592aef6 |
completed | April 20, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.