Triple
T18839887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grandmother Willow |
E460763
|
entity |
| Predicate | helpsResolve |
P129918
|
FINISHED |
| Object | conflict between Powhatans and English settlers |
—
|
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: conflict between Powhatans and English settlers | Statement: [Grandmother Willow, helpsResolve, conflict between Powhatans and English settlers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsResolve Context triple: [Grandmother Willow, helpsResolve, conflict between Powhatans and English settlers]
-
A.
resolves
Indicates that one entity successfully finds a solution, answer, or outcome for a problem, conflict, or uncertainty involving another entity.
-
B.
helpsIn
chosen
Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
-
C.
laterHelps
Indicates that one entity provides help or assistance to another at a subsequent time rather than immediately.
-
D.
resolvedIn
Indicates that an issue, conflict, or process is brought to a conclusion or solution within a specified context, medium, or timeframe.
-
E.
resolutionOf
Indicates that one entity is the formal decision, outcome, or solution produced in response to, or for the purpose of addressing, another entity such as an issue, proposal, or problem.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8e8f57081909edbbcaf56189816 |
completed | April 20, 2026, 5:26 a.m. |
| PD | Predicate disambiguation | batch_69e48d1e7dac81909ea1e758c87773c5 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.