Triple
T3345984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Fuss and Feathers |
E70374
|
entity |
| Predicate | eraOfBearerActivity |
P45464
|
FINISHED |
| Object | early United States republic |
—
|
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: early United States republic | Statement: [Old Fuss and Feathers, eraOfBearerActivity, early United States republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfBearerActivity Context triple: [Old Fuss and Feathers, eraOfBearerActivity, early United States republic]
-
A.
typicalBearers
Indicates that certain entities are the usual or characteristic holders, users, or possessors of a given property, role, or attribute.
-
B.
timePeriodOfNotableBearer
chosen
Indicates the span of time during which a notable bearer is recognized as having held, embodied, or been associated with the subject.
-
C.
stateOfActivity
Indicates the current condition, phase, or status that an activity is in at a given time.
-
D.
hasPrimaryBearer
Indicates that one entity serves as the main or principal holder, carrier, or possessor of another entity.
-
E.
refersToCountryOfBearer
Indicates that something is associated with or identifies the country to which the bearer belongs.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f4ff888190bf14b9b7fbe9bcee |
completed | March 8, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.