Triple
T24864707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thinking (book) |
E622246
|
entity |
| Predicate | hasAfterwordBy |
P140962
|
FINISHED |
| Object | Mary McCarthy |
—
|
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: Mary McCarthy | Statement: [Thinking (book), hasAfterwordBy, Mary McCarthy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAfterwordBy Context triple: [Thinking (book), hasAfterwordBy, Mary McCarthy]
-
A.
hasEpilogueBy
Indicates that an epilogue of a work is authored, written, or created by a specified agent.
-
B.
authorOfAfterwordOrNotes
chosen
Indicates that one entity is the author of an afterword or explanatory notes accompanying another entity (such as a work or edition).
-
C.
hasPrefaceBy
Indicates that a work includes a preface written by a specified person.
-
D.
hasNovella
Indicates that one entity possesses, includes, or is associated with a novella as part of its contents or attributes.
-
E.
laterWrittenIn
Indicates that one text or version was written at a later time than another, establishing a chronological order between the writings.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:22 a.m.