Triple
T34447420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Robartes and the Dancer |
E884266
|
entity |
| Predicate | firstEditionIllustrator |
P205434
|
FINISHED |
| Object | Elizabeth Yeats |
E886163
|
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: Elizabeth Yeats | Statement: [Michael Robartes and the Dancer, firstEditionIllustrator, Elizabeth Yeats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEditionIllustrator Context triple: [Michael Robartes and the Dancer, firstEditionIllustrator, Elizabeth Yeats]
-
A.
firstEditionAuthorCredit
Indicates that an entity is credited as the author in the first published edition of a work.
-
B.
coverArtistFirstEdition
Indicates that an entity served as the cover artist specifically for the first edition of another work.
-
C.
illustratorOfOriginalCollection
Indicates that an entity served as the illustrator for the original version of a collection of works.
-
D.
firstEditionType
Indicates that an entity is classified as a first edition of a work, specifying the type or category of that first edition.
-
E.
firstEditionFocus
Indicates that the primary emphasis or subject of something is its first edition.
- F. None of above. chosen
Provenance (5 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a371843e5488190ac01ac6b91e43f13 |
completed | June 20, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2 a.m.