Triple
T16584477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beecher's Hope |
E402916
|
entity |
| Predicate | isRewardFor |
P31175
|
FINISHED |
| Object | John Marston's work for the government |
—
|
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: John Marston's work for the government | Statement: [Beecher's Hope, isRewardFor, John Marston's work for the government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRewardFor Context triple: [Beecher's Hope, isRewardFor, John Marston's work for the government]
-
A.
grantedAsRewardFor
chosen
Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
-
B.
offersRewardFor
Indicates that one entity promises or provides a reward in exchange for another entity performing a specified action or achieving a particular outcome.
-
C.
rewardUse
Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
-
D.
isAwardedWithin
Indicates that an award or recognition is granted to an entity within a specified context, scope, or time frame.
-
E.
rewardFulfilledFor
Indicates that a previously promised or expected reward has been delivered or satisfied for a particular 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599b057881909fcb8bbb156633a8 |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.