Triple
T33805616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Frayn bibliography |
E866377
|
entity |
| Predicate | includesNotableNonFiction |
P137578
|
FINISHED |
| Object |
The Day of the Dog
"The Day of the Dog" is a non-fiction work by British writer Michael Frayn, showcasing his characteristic wit and observational humor.
|
E864764
|
NE FINISHED |
How this triple was built (3 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: The Day of the Dog | Statement: [Michael Frayn bibliography, includesNotableNonFiction, The Day of the Dog]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Day of the Dog Triple: [Michael Frayn bibliography, includesNotableNonFiction, The Day of the Dog]
Generated description
"The Day of the Dog" is a non-fiction work by British writer Michael Frayn, showcasing his characteristic wit and observational humor.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesNotableNonFiction Context triple: [Michael Frayn bibliography, includesNotableNonFiction, The Day of the Dog]
-
A.
includesNotableNonFictionWork
chosen
Indicates that a collection, list, or body of work contains at least one notable non-fiction work as a member or component.
-
B.
includesNotableNovel
Indicates that an entity (such as an author, series, or collection) contains or features at least one notable novel as part of it.
-
C.
isNonFictionEligible
Indicates that an item meets the criteria to be classified or treated as eligible non-fiction.
-
D.
isNonFictionCategory
Indicates that a given category pertains to non-fiction works, such as factual or informational content rather than fictional material.
-
E.
isNonfiction
Indicates that the work or content is factual rather than fictional, based on real events, people, or information.
- F. None of above.
Provenance (6 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a035ac41d088190b7e76b93c1410090 |
completed | May 12, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36659b34c4819086e66a399e0fe25b |
completed | June 20, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a36665237cc8190bc8377bb72784058 |
completed | June 20, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36676a438881909d01a02d62eccfdc |
completed | June 20, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_6a035a4f290c8190a0101295a38ae8b8 |
completed | May 12, 2026, 4:50 p.m. |
Created at: May 1, 2026, 1:46 a.m.