Triple
T20232084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Cause for Panic |
E495550
|
entity |
| Predicate | hasAuthorKnownFor |
P75027
|
FINISHED |
| Object | Pulitzer Prize–winning commentary |
—
|
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: Pulitzer Prize–winning commentary | Statement: [No Cause for Panic, hasAuthorKnownFor, Pulitzer Prize–winning commentary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorKnownFor Context triple: [No Cause for Panic, hasAuthorKnownFor, Pulitzer Prize–winning commentary]
-
A.
authorIsKnownFor
chosen
Indicates that a particular author is widely recognized or notable for a specific work, genre, contribution, or characteristic.
-
B.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
C.
hasInfluentialAuthor
Indicates that an entity has an author whose work has had significant impact or influence in a relevant domain.
-
D.
hasNotableAuthorWork
Indicates that an author is notably associated with creating a particular work.
-
E.
authorNotableWork
Indicates that a person is the creator or writer of a specific notable work, such as a book, article, or other significant publication.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fddafac819089cef4158f5e0ab5 |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.