Triple
T35338198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr Gilfil |
E1020520
|
entity |
| Predicate | firstPublicationAuthorLegalName |
P14478
|
FINISHED |
| Object | Mary Ann Evans |
E10495
|
NE 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: Mary Ann Evans | Statement: [Mr Gilfil, firstPublicationAuthorLegalName, Mary Ann Evans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationAuthorLegalName Context triple: [Mr Gilfil, firstPublicationAuthorLegalName, Mary Ann Evans]
-
A.
firstPublicationAuthorName
chosen
Indicates the name of the author who wrote the work’s first published edition.
-
B.
firstPublicationAuthor
Indicates that the subject is the author responsible for the first publication of the object.
-
C.
authorTitle
Indicates that a person is the creator or writer of a work that bears the specified title.
-
D.
creatorGivenName
Indicates the given (first) name of the person or entity that created something.
-
E.
authorOfNamesFor
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
- F. None of above.
Provenance (4 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387cf6a1ec8190be8c46edb098845c |
completed | June 22, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.