Triple
T66646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert F. Kennedy's 1968 presidential campaign |
E1329
|
entity |
| Predicate | campaignTheme |
P4174
|
FINISHED |
| Object | social justice |
—
|
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: social justice | Statement: [Robert F. Kennedy's 1968 presidential campaign, campaignTheme, social justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignTheme Context triple: [Robert F. Kennedy's 1968 presidential campaign, campaignTheme, social justice]
-
A.
campaign
Indicates that an entity actively organizes or conducts a coordinated effort or series of actions aimed at achieving a specific goal, often in political, commercial, or social contexts.
-
B.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
C.
majorCampaignType
Indicates the primary category or classification of a campaign within a broader set of campaign types.
-
D.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
E.
partOfCampaign
Indicates that an entity participates in, belongs to, or is included within a specific campaign.
- 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.