Triple
T24923497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Writing and Difference |
E618787
|
entity |
| Predicate | publishedInSameYearAs |
P159048
|
FINISHED |
| Object | Speech and Phenomena |
—
|
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: Speech and Phenomena | Statement: [Writing and Difference, publishedInSameYearAs, Speech and Phenomena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publishedInSameYearAs Context triple: [Writing and Difference, publishedInSameYearAs, Speech and Phenomena]
-
A.
publishedInSameYearAs
chosen
Indicates that two entities were published in the same calendar year.
-
B.
diedInSameYearAs
Indicates that two entities each died in the same calendar year.
-
C.
workBySameAuthorAs
Indicates that two works share the same author, i.e., they were created by the same person or entity.
-
D.
publishedInCollaborationWith
Indicates that an entity was published as a result of a joint effort or partnership with another entity.
-
E.
complementsWorkBySameAuthor
Indicates that one work enhances, completes, or supplements another work created by the same author.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 5:29 a.m.