Triple
T28650601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Haystack in the Floods |
E725182
|
entity |
| Predicate | publisherOfFirstBook |
P7323
|
FINISHED |
| Object | Bell and Daldy |
E725180
|
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: Bell and Daldy | Statement: [The Haystack in the Floods, publisherOfFirstBook, Bell and Daldy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publisherOfFirstBook Context triple: [The Haystack in the Floods, publisherOfFirstBook, Bell and Daldy]
-
A.
editorOfFirstBookPublication
Indicates that a person or entity served as the editor for the first published edition of a specific book.
-
B.
firstPublisher
chosen
Indicates that an entity is the original or earliest publisher of another entity (such as a work, edition, or resource).
-
C.
firstPublicationAuthor
Indicates that the subject is the author responsible for the first publication of the object.
-
D.
translatorOfFirstBook
Indicates that the subject is the translator of the first book in a given series or collection.
-
E.
firstPublicationAuthorName
Indicates the name of the author who wrote the work’s first published edition.
- F. None of above.
Provenance (4 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_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1cc38939d48190a8b1d93561e7e243 |
completed | May 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 28, 2026, 4:51 a.m.