Triple
T12196925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirk Gently (2010 TV series) |
E290611
|
entity |
| Predicate | hasDramaElements |
P21484
|
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: [Dirk Gently (2010 TV series), hasDramaElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDramaElements Context triple: [Dirk Gently (2010 TV series), hasDramaElements, true]
-
A.
hasDramaticElements
chosen
Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
-
B.
hasDramaticStructure
Indicates that something possesses or follows a specific dramatic structure, such as an organized sequence of narrative or theatrical elements (e.g., exposition, climax, resolution).
-
C.
hasDramaticProduction
Indicates that an entity is associated with or features a specific dramatic production (such as a play, performance, or staged work).
-
D.
hasHorrorElements
Indicates that something contains features, themes, or stylistic aspects characteristic of the horror genre.
-
E.
hasDramaticStyle
Indicates that an entity employs or is characterized by a theatrical, emotionally intense, or striking manner of expression or presentation.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:50 p.m.