Triple
T28649932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kelmscott Chaucer |
E725160
|
entity |
| Predicate | initialLettersDesigner |
P55530
|
FINISHED |
| Object | William Morris |
—
|
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: William Morris | Statement: [The Kelmscott Chaucer, initialLettersDesigner, William Morris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialLettersDesigner Context triple: [The Kelmscott Chaucer, initialLettersDesigner, William Morris]
-
A.
designerInitials
chosen
Indicates that the associated value is the set of initials of the designer involved in the described entity or action.
-
B.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
C.
hasInitialLetters
Indicates that one entity’s initial letters or acronym are derived from or correspond to the other entity.
-
D.
firstCharactersOfPlate
Indicates that one entity specifies the initial characters appearing at the beginning of another entity’s license plate identifier.
-
E.
nameLetter
Indicates that a specific letter is part of, or occurs within, an entity’s name.
- 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_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 28, 2026, 4:51 a.m.