Triple
T11842188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassius |
E281678
|
entity |
| Predicate | stanceOnVietnamWar |
P4172
|
FINISHED |
| Object | opposed to U.S. involvement |
—
|
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 to U.S. involvement | Statement: [Cassius, stanceOnVietnamWar, opposed to U.S. involvement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnVietnamWar Context triple: [Cassius, stanceOnVietnamWar, opposed to U.S. involvement]
-
A.
positionOnVietnamWar
chosen
Indicates a person or entity’s stance, opinion, or policy position regarding the Vietnam War.
-
B.
statusAfterVietnamWar
Indicates the condition or situation of an entity following the end of the Vietnam War.
-
C.
impactOnVietnam
Indicates a relationship where one entity has an effect, influence, or consequence on Vietnam.
-
D.
positionOnIraqWar
Indicates a stance or viewpoint an entity holds regarding the Iraq War, such as support, opposition, or neutrality.
-
E.
stanceTowardGovernment
Indicates the attitude, position, or level of support or opposition that an entity holds toward a government.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65a597c8190b09f57463b279afc |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.