Triple
T25034275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enderby series |
E626932
|
entity |
| Predicate | fourthBookTitle |
P35823
|
FINISHED |
| Object | Enderby’s Dark Lady, or No End to Enderby |
—
|
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: Enderby’s Dark Lady, or No End to Enderby | Statement: [Enderby series, fourthBookTitle, Enderby’s Dark Lady, or No End to Enderby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthBookTitle Context triple: [Enderby series, fourthBookTitle, Enderby’s Dark Lady, or No End to Enderby]
-
A.
book4Title
chosen
Indicates that an entity is the title associated with a specific book identified as “book4.”
-
B.
book3Title
Indicates the title assigned to the third book in a sequence or collection associated with an entity.
-
C.
book7Title
Indicates the title assigned to the book identified as book7.
-
D.
book5Title
Indicates the title assigned to the book identified as "book5."
-
E.
book6Title
Indicates the title assigned to the sixth book in a sequence or collection.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 6:08 a.m.