Triple
T27701954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thurber Prize for American Humor |
E698449
|
entity |
| Predicate | notableShortlistedAuthor |
P173710
|
FINISHED |
| Object | Nora Ephron |
—
|
NE NERFINISHED |
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: Nora Ephron | Statement: [Thurber Prize for American Humor, notableShortlistedAuthor, Nora Ephron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableShortlistedAuthor Context triple: [Thurber Prize for American Humor, notableShortlistedAuthor, Nora Ephron]
-
A.
literaryAwardShortlist
Indicates that a work or creator has been officially selected as a finalist for a particular literary award.
-
B.
notableAuthorMember
Indicates that an entity is a notable or distinguished author who is a member of a particular group, organization, or collection.
-
C.
hasShortlistedAuthor
chosen
Indicates that an entity has selected or included a particular author on a shortlist for consideration or recognition.
-
D.
notableWorkAuthor
Indicates that one entity is the creator or author of a notable work associated with another entity.
-
E.
notableAuthorAttribute
Indicates that a particular attribute or characteristic is especially notable or significant for an author in the context of their work 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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_6a0018cf6ebc8190aee6288788d0067e |
completed | May 10, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_6a001855e8588190a65840485473cf8b |
completed | May 10, 2026, 5:32 a.m. |
Created at: April 27, 2026, 2:57 p.m.