Triple
T66662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert F. Kennedy's 1968 presidential campaign |
E1329
|
entity |
| Predicate | supportBase |
P4178
|
FINISHED |
| Object | anti–Vietnam War activists |
—
|
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: anti–Vietnam War activists | Statement: [Robert F. Kennedy's 1968 presidential campaign, supportBase, anti–Vietnam War activists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportBase Context triple: [Robert F. Kennedy's 1968 presidential campaign, supportBase, anti–Vietnam War activists]
-
A.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
B.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
C.
supportsActivity
Indicates that one entity provides the necessary conditions, resources, or environment for another entity’s activity to occur or be sustained.
-
D.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
supportsPolicy
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2509b5a088190bb9d2b650aeb8bca |
completed | Feb. 28, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69a24ea749788190bc17865171ff909a |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a2509a1c088190b4afa3045455709a |
completed | Feb. 28, 2026, 2:19 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.