Triple
T29239271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clutter family |
E741273
|
entity |
| Predicate | hasGenreOfAccount |
P173060
|
FINISHED |
| Object | true crime |
—
|
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: true crime | Statement: [Clutter family, hasGenreOfAccount, true crime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreOfAccount Context triple: [Clutter family, hasGenreOfAccount, true crime]
-
A.
hasGivenGenre
chosen
Indicates that an entity is associated with a specific genre that has been assigned or designated to it.
-
B.
hasUseGenre
Indicates that something (such as a work, product, or item) is associated with or categorized under a particular genre for its use or purpose.
-
C.
hasGenreAsSetting
Indicates that a work’s setting is characterized by, or takes place within, a particular genre.
-
D.
hasTargetGenreCategory
Indicates that something is associated with or classified under a specific target genre category.
-
E.
hasMainGenre
Indicates that an entity’s primary or most characteristic genre is the specified 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 28, 2026, 12:30 p.m.