Triple
T19264967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Husband’s Lies |
E481747
|
entity |
| Predicate | isPartOfGenreTrend |
P127457
|
FINISHED |
| Object | domestic noir |
—
|
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: domestic noir | Statement: [My Husband’s Lies, isPartOfGenreTrend, domestic noir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfGenreTrend Context triple: [My Husband’s Lies, isPartOfGenreTrend, domestic noir]
-
A.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
B.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
C.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
D.
isAssociatedWithSubgenre
chosen
Indicates that one entity has a connection or linkage to a specific subgenre of a broader category.
-
E.
hasGenreFeature
Indicates that something possesses a characteristic, element, or trait associated with a particular 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8ca2e88190baad3b6c199ee036 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:29 p.m.