Triple
T25166208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Peters |
E630184
|
entity |
| Predicate | livedInContextOf |
P158194
|
FINISHED |
| Object | American Revolution |
—
|
NE NERFINISHED |
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: American Revolution | Statement: [John Peters, livedInContextOf, American Revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livedInContextOf Context triple: [John Peters, livedInContextOf, American Revolution]
-
A.
livedInContextOf
chosen
Indicates that an entity resided or existed in a particular place, situation, or historical/cultural setting relevant to a specified context.
-
B.
performedInContextOf
Indicates that an action or event was carried out within, and is meaningfully related to, a specific situational, procedural, or environmental context.
-
C.
emergedInContext
Indicates that something came into existence, became apparent, or developed within a specific situation, environment, or set of circumstances.
-
D.
namedInContextOf
Indicates that an entity is mentioned or identified specifically within a particular context, situation, or frame of reference.
-
E.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
- 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46d420c6c8190ae3a7731b4978e6d |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 12:17 p.m.