Triple
T4391297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Pepys statue |
E99367
|
entity |
| Predicate | subjectLifespanEnd |
P56347
|
FINISHED |
| Object | 1703 |
—
|
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: 1703 | Statement: [Samuel Pepys statue, subjectLifespanEnd, 1703]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectLifespanEnd Context triple: [Samuel Pepys statue, subjectLifespanEnd, 1703]
-
A.
lifespan
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
B.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
C.
setsTermEndDateFor
Indicates setting or assigning the end date of a term or period for another entity.
-
D.
lifeStatus
Indicates the current state of an entity’s existence, such as whether it is alive, dead, or in another defined life condition.
-
E.
ceasedActivityUnder
Indicates that an entity stopped performing a particular activity while under the authority, influence, or conditions imposed by 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352843d7c8190929b94c94eaa63df |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f572efc8190bad1e5078cbcb75a |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3501834448190bedf775a80da4778 |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:19 p.m.