Triple
T33800127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Ball |
E866192
|
entity |
| Predicate | stanceOnConflict |
P177721
|
FINISHED |
| Object | opposed escalation of U.S. ground forces in Vietnam |
—
|
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: opposed escalation of U.S. ground forces in Vietnam | Statement: [George Ball, stanceOnConflict, opposed escalation of U.S. ground forces in Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnConflict Context triple: [George Ball, stanceOnConflict, opposed escalation of U.S. ground forces in Vietnam]
-
A.
subConflict
Indicates that one conflict is a component, phase, or subordinate part of a larger overarching conflict.
-
B.
basedOnConflict
Indicates that one entity is derived from, influenced by, or structured around a particular conflict involving another entity.
-
C.
settingConflict
Indicates a conflict or incompatibility between two settings, configurations, or environmental conditions.
-
D.
wonConflict
Indicates that one entity has prevailed over another in a conflict, contest, or struggle.
-
E.
valueConflict
Indicates a situation where two or more values, preferences, or principles are in opposition or cannot be simultaneously satisfied.
- F. None of above. chosen
Provenance (4 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:46 a.m.