Triple
T10210964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Painted House |
E242324
|
entity |
| Predicate | departsFromTypicalGenreOfAuthor |
P88138
|
FINISHED |
| Object | legal thriller |
—
|
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: legal thriller | Statement: [A Painted House, departsFromTypicalGenreOfAuthor, legal thriller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departsFromTypicalGenreOfAuthor Context triple: [A Painted House, departsFromTypicalGenreOfAuthor, legal thriller]
-
A.
differsFromOtherWorksByAuthor
chosen
Indicates that a particular work by an author is distinct in some meaningful way from their other works.
-
B.
literaryGenreOfWork
Indicates that a work belongs to or is classified under a particular literary genre.
-
C.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
-
D.
formerGenreFocus
Indicates that an entity previously concentrated on or specialized in a particular genre, but no longer does so.
-
E.
describedByAuthorAs
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:01 a.m.