Triple
T3751067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicias |
E81328
|
entity |
| Predicate | politicalReputation |
P5316
|
FINISHED |
| Object | cautious |
—
|
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: cautious | Statement: [Nicias, politicalReputation, cautious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalReputation Context triple: [Nicias, politicalReputation, cautious]
-
A.
nationalReputation
Indicates the recognized standing or esteem an entity holds at the level of an entire nation.
-
B.
politicalRepercussion
Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
-
C.
hasPoliticalCharacteristic
chosen
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
D.
politicalTendency
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
E.
politicalBase
Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb909bb4819088559f90d718f72f |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.