Triple
T26253643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On types of knotted curves |
E656661
|
entity |
| Predicate | hasAuthorOrder |
P160091
|
FINISHED |
| Object | J. W. Alexander is first author |
—
|
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: J. W. Alexander is first author | Statement: [On types of knotted curves, hasAuthorOrder, J. W. Alexander is first author]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorOrder Context triple: [On types of knotted curves, hasAuthorOrder, J. W. Alexander is first author]
-
A.
authorOrder
chosen
Indicates the sequence or ranking of authors associated with a work, specifying each author's position in the authorship list.
-
B.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
C.
hasNameOrder
Indicates the specific sequence or arrangement in which the components of a name (e.g., given name, family name, titles) are ordered.
-
D.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
E.
hasOrder
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 26, 2026, 9:07 p.m.