Triple
T17977429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Salas |
E449511
|
entity |
| Predicate | receivedAmountOfTime |
P14893
|
FINISHED |
| Object | more than a century |
—
|
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: more than a century | Statement: [Will Salas, receivedAmountOfTime, more than a century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedAmountOfTime Context triple: [Will Salas, receivedAmountOfTime, more than a century]
-
A.
receivedSettlementAmount
Indicates that an entity has obtained a specified amount of money or value as part of a settlement.
-
B.
spentTimeIn
chosen
Indicates that an entity has spent a certain amount or period of time in a particular place or context.
-
C.
receivedPortion
Indicates that one entity has obtained or been given a part or share of something from another source.
-
D.
receivedFor
Indicates that something was obtained, accepted, or taken into possession on behalf of or for the benefit of a specified entity.
-
E.
receivedTransmissionOf
Indicates that one entity has obtained or been sent a transmission (such as a message, signal, or data) originating from another entity.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b200e9108190bcdde5ba7938ba94 |
completed | April 19, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.