Triple
T28921721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew (Four Weddings and a Funeral) |
E733531
|
entity |
| Predicate | poemAuthorMentioned |
P152712
|
FINISHED |
| Object | W. H. Auden |
—
|
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: W. H. Auden | Statement: [Matthew (Four Weddings and a Funeral), poemAuthorMentioned, W. H. Auden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poemAuthorMentioned Context triple: [Matthew (Four Weddings and a Funeral), poemAuthorMentioned, W. H. Auden]
-
A.
poemAuthor
Indicates that one entity is the author or creator of a poem represented by the other entity.
-
B.
poetAssociated
chosen
Indicates a relationship where a poet is connected or linked to another entity, such as a work, place, movement, or person, through relevance, collaboration, influence, or affiliation.
-
C.
associatedWithPoem
Indicates a relationship in which an entity is connected or linked to a particular poem, such as by authorship, subject, reference, or contextual association.
-
D.
lyricistOfSourcePoem
Indicates that one entity is the writer of the original poem on which another work (such as a song or adaptation) is based.
-
E.
favoritePoet
Indicates that one entity is the poet whom another entity prefers above all other poets.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b1b09a08190934a1b04d6381028 |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:20 a.m.