Triple
T80308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I Have a Dream" speech |
E1612
|
entity |
| Predicate | philosophicalInfluence |
P1994
|
FINISHED |
| Object | Mahatma Gandhi's nonviolence |
—
|
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: Mahatma Gandhi's nonviolence | Statement: ["I Have a Dream" speech, philosophicalInfluence, Mahatma Gandhi's nonviolence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: philosophicalInfluence Context triple: ["I Have a Dream" speech, philosophicalInfluence, Mahatma Gandhi's nonviolence]
-
A.
notablePhilosopher
Indicates that the subject is recognized as a philosopher of particular significance or influence.
-
B.
philosophicalTheme
Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
-
C.
influencedReligion
Indicates that one entity has had a shaping or modifying effect on the religious beliefs, practices, or traditions of another entity.
-
D.
influencedWork
chosen
Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
-
E.
hasCulturalImpact
Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24eb126b48190b410b859c1be99aa |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.