Triple
T34980680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Detective |
E1008803
|
entity |
| Predicate | isHistoricalFiction |
P116833
|
FINISHED |
| Object | true |
—
|
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 | Statement: [True Detective, isHistoricalFiction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHistoricalFiction Context triple: [True Detective, isHistoricalFiction, true]
-
A.
fictionalHistoryFeature
Indicates a relationship where something is a notable element or aspect within the fictional history or backstory of another entity.
-
B.
historicalGenre
Indicates that something belongs to or is categorized within a particular historical genre.
-
C.
hasGenreInFiction
chosen
Indicates that a work of fiction belongs to or is categorized under a specific literary genre.
-
D.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
-
E.
isForFictionalWork
Indicates that something is intended to be used in, associated with, or specifically created for a fictional work.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.