Triple
T21958338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agatha Christie: A Life in Pictures |
E542253
|
entity |
| Predicate | isAboutGenre |
P108334
|
FINISHED |
| Object | crime fiction |
—
|
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: crime fiction | Statement: [Agatha Christie: A Life in Pictures, isAboutGenre, crime fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAboutGenre Context triple: [Agatha Christie: A Life in Pictures, isAboutGenre, crime fiction]
-
A.
isCreativeWorkOfGenre
chosen
Indicates that a creative work belongs to, or is categorized under, a particular genre.
-
B.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
C.
hasTargetGenreCategory
Indicates that something is associated with or classified under a specific target genre category.
-
D.
namedForGenre
Indicates that something is given a name based on or derived from a particular genre.
-
E.
hasGenreInFiction
Indicates that a work of fiction belongs to or is categorized under a specific literary genre.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244204f081909742d4fe138610d6 |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8 p.m.