Triple
T3805751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Search of the Light |
E93002
|
entity |
| Predicate | hasAuthorField |
P51858
|
FINISHED |
| Object | consciousness studies |
—
|
LITERAL 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: consciousness studies | Statement: [In Search of the Light, hasAuthorField, consciousness studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorField Context triple: [In Search of the Light, hasAuthorField, consciousness studies]
-
A.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
B.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
C.
hasAuthorRelationshipToSubject
Indicates that an entity serves as the author or creator of the specified subject.
-
D.
hasAuthorPublished
Indicates that a specific author has produced and made publicly available at least one work, such as a book, article, or paper.
-
E.
hasAuthorAlias
Indicates that an entity (such as a person or author record) is known by an alternative name or pseudonym used as an author.
- F. None of above. chosen
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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee8d9b328819080158be59e5bcc97 |
completed | March 9, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:16 p.m.