Triple
T11995339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobias "Toby" Wolff |
E285513
|
entity |
| Predicate | genreOfWorkHeNarrates |
P102784
|
FINISHED |
| Object | memoir |
—
|
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: memoir | Statement: [Tobias "Toby" Wolff, genreOfWorkHeNarrates, memoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkHeNarrates Context triple: [Tobias "Toby" Wolff, genreOfWorkHeNarrates, memoir]
-
A.
genreOfWorkAbout
Indicates that a work is about a particular genre, expressing that the work’s subject matter or focus concerns that genre.
-
B.
genreOfWorkCharacterIsIn
Indicates the specific genre of the creative work in which a given character appears.
-
C.
genreOfWorkEdited
Indicates that an entity has served as an editor for a work belonging to a specified genre.
-
D.
genreOfWorkPerformedIn
Indicates that a specified genre characterizes the type of work that is performed in a particular event, context, or setting.
-
E.
genreOfWorkDirected
Indicates that a person has directed a work (such as a film, show, or performance) belonging to a specified genre.
- F. None of above. chosen
Provenance (4 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b211688190bfe6dd15c3f96d2f |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d903a8695c8190bfa9d7ca50834f9f |
completed | April 10, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:46 p.m.