Triple
T31913278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Memoriam James Joyce |
E814749
|
entity |
| Predicate | hasLegalNameOfAuthor |
P107441
|
FINISHED |
| Object | Christopher Murray Grieve |
—
|
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: Christopher Murray Grieve | Statement: [In Memoriam James Joyce, hasLegalNameOfAuthor, Christopher Murray Grieve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalNameOfAuthor Context triple: [In Memoriam James Joyce, hasLegalNameOfAuthor, Christopher Murray Grieve]
-
A.
hasAuthorSurname
Indicates that an entity (such as a work or publication) has an associated author whose family name is the specified surname.
-
B.
hasAuthorGivenNames
Indicates that an entity is associated with the given (first and middle) name or names of its author.
-
C.
hasAuthorRealName
chosen
Indicates that an entity (such as a work or pseudonym) is associated with the actual, legal name of its author.
-
D.
hasArtistLegalName
Indicates that an artist entity is associated with a specific legal (real) name used for official or formal purposes.
-
E.
hasAuthorTitle
Indicates that an author holds or is designated by a specific title (e.g., professional, honorific, or role-based).
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 1, 2026, 12:01 a.m.