Triple
T33307838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monumental Pictures |
E852783
|
entity |
| Predicate | HarlotsGenre |
P177395
|
FINISHED |
| Object | drama |
—
|
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: drama | Statement: [Monumental Pictures, HarlotsGenre, drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HarlotsGenre Context triple: [Monumental Pictures, HarlotsGenre, drama]
-
A.
historicalGenre
Indicates that something belongs to or is categorized within a particular historical genre.
-
B.
depictsGenre
Indicates that one entity visually represents or portrays the genre category associated with another entity.
-
C.
genreOfComedy
Indicates that something belongs to or is categorized within the comedy genre.
-
D.
theatricalGenre
Indicates the specific theatrical genre or style to which a performance, play, or production belongs.
-
E.
historicallyImportantGenre
Indicates that the subject genre has played a significant and influential role in history or cultural development.
- F. None of above. chosen
Provenance (4 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 1:33 a.m.