Triple
T17708799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bikenibeu Paeniu |
E441504
|
entity |
| Predicate | hasLifespanStatus |
P31531
|
FINISHED |
| Object | living person |
—
|
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: living person | Statement: [Bikenibeu Paeniu, hasLifespanStatus, living person]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLifespanStatus Context triple: [Bikenibeu Paeniu, hasLifespanStatus, living person]
-
A.
hasLifetimeStatus
Indicates that an entity is associated with a status or condition that applies for the entire duration of its existence.
-
B.
hasMeanLifetime
Indicates the characteristic average time duration for which an entity, state, or condition persists before it decays, ends, or changes.
-
C.
supportsLifespan
Indicates that one entity contributes to maintaining, extending, or enabling the full duration of another entity’s life or functional existence.
-
D.
lifecycleStatus
chosen
Indicates the current phase or condition of an entity within its overall lifecycle or progression from creation to termination.
-
E.
lifespanType
Indicates the type or category of lifespan associated with an entity, such as whether it is finite, indefinite, or of a particular defined duration.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47299cd7881908aac13b84acb61f7 |
completed | April 19, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:05 a.m.