Triple
T3094626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God Has a Dream: A Vision of Hope for Our Time |
E64563
|
entity |
| Predicate | notableAuthorAward |
P25298
|
FINISHED |
| Object | Nobel Peace Prize (author) |
—
|
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: Nobel Peace Prize (author) | Statement: [God Has a Dream: A Vision of Hope for Our Time, notableAuthorAward, Nobel Peace Prize (author)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAuthorAward Context triple: [God Has a Dream: A Vision of Hope for Our Time, notableAuthorAward, Nobel Peace Prize (author)]
-
A.
notableAwardOfAuthor
chosen
Indicates that a particular award is a significant or distinguished honor received by the author.
-
B.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
-
C.
notableAwardedFor
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
-
D.
notableAwardWork
Indicates that a work is the specific creation (e.g., book, film, artwork) for which an award or honor was given.
-
E.
awardedAuthor
Indicates that an author has received an award or recognition.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada239a8c88190a746892b56ee7e02 |
completed | March 8, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.