Triple
T8975482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Theresa Mehegan Hill |
E214375
|
entity |
| Predicate | knownInContextOf |
P65126
|
FINISHED |
| Object | history of Saint Paul, Minnesota |
—
|
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: history of Saint Paul, Minnesota | Statement: [Mary Theresa Mehegan Hill, knownInContextOf, history of Saint Paul, Minnesota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownInContextOf Context triple: [Mary Theresa Mehegan Hill, knownInContextOf, history of Saint Paul, Minnesota]
-
A.
knownIn
chosen
Indicates that an entity is recognized, acknowledged, or familiar within a particular context, domain, or group.
-
B.
namedInContextOf
Indicates that an entity is mentioned or identified specifically within a particular context, situation, or frame of reference.
-
C.
knownFrom
Indicates that one entity is aware of, has learned about, or recognizes another entity through a specified source, context, or medium.
-
D.
knownInLanguage
Indicates that an entity is recognized, named, or expressed in a particular language.
-
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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6784d1808190899c980f76084ff8 |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:02 p.m.