Triple
T28649881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Works of Geoffrey Chaucer |
E725159
|
entity |
| Predicate | hasInitialLettersBy |
P27166
|
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 Works of Geoffrey Chaucer, hasInitialLettersBy, William Morris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInitialLettersBy Context triple: [The Works of Geoffrey Chaucer, hasInitialLettersBy, William Morris]
-
A.
hasInitialLetters
chosen
Indicates that one entity’s initial letters or acronym are derived from or correspond to the other entity.
-
B.
hasLetter
Indicates that one entity contains, includes, or is associated with a specific letter or character.
-
C.
hasLetterBy
Indicates that an entity possesses or is associated with a letter authored or sent by another entity.
-
D.
hasLettersFor
Indicates that one entity possesses or contains written correspondence intended for another entity.
-
E.
hasBasicLetters
Indicates that an entity contains or is composed of fundamental alphabetic characters, without additional symbols or diacritics.
- 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_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: April 28, 2026, 4:51 a.m.