Triple
T28649860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Works of Geoffrey Chaucer |
E725159
|
entity |
| Predicate | woodEngraver |
P105940
|
FINISHED |
| Object | William Harcourt Hooper |
—
|
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 Harcourt Hooper | Statement: [The Works of Geoffrey Chaucer, woodEngraver, William Harcourt Hooper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: woodEngraver Context triple: [The Works of Geoffrey Chaucer, woodEngraver, William Harcourt Hooper]
-
A.
engraverTitle
chosen
Indicates that the specified title or role is held by the person who performed the engraving work on an item or artwork.
-
B.
carvedBy
Indicates that one entity has been shaped, cut, or sculpted from a material by another entity through a carving process.
-
C.
carvingTheme
Indicates that one entity features another entity as the subject or motif of its carved decoration.
-
D.
isCarvedWith
Indicates that one entity has been shaped, decorated, or formed by carving using another entity as the tool, method, or material.
-
E.
hasCarving
Indicates that one entity features or contains a carved design, inscription, or sculpted detail that is associated with or applied to another entity.
- 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_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:51 a.m.