Triple
T24796314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney family |
E620392
|
entity |
| Predicate | intellectualContribution |
P477
|
FINISHED |
| Object | English republican ideas |
—
|
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: English republican ideas | Statement: [Sidney family, intellectualContribution, English republican ideas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intellectualContribution Context triple: [Sidney family, intellectualContribution, English republican ideas]
-
A.
notableContribution
chosen
Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
-
B.
notableContributionField
Indicates the field or domain in which an entity has made a significant or noteworthy contribution.
-
C.
researchContribution
Indicates that an entity has produced or participated in creating new knowledge, findings, or innovations within a research context.
-
D.
awardContributedTo
Indicates that an entity played a role or made a contribution that helped lead to a particular award or recognition being granted.
-
E.
hasIntellectualFocus
Indicates that an entity’s primary attention, study, or mental effort is directed toward a particular subject, topic, or area of interest.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:48 a.m.