Triple
T34939074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crying Game |
E1007664
|
entity |
| Predicate | hasProseForm |
P97967
|
FINISHED |
| Object | narrative prose |
—
|
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: narrative prose | Statement: [The Crying Game, hasProseForm, narrative prose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProseForm Context triple: [The Crying Game, hasProseForm, narrative prose]
-
A.
hasLiteraryForm
Indicates that one entity is expressed, structured, or realized in a particular literary form (such as a genre, style, or textual format).
-
B.
hasProseElements
chosen
Indicates that something contains or is composed of prose components, such as sentences, paragraphs, or narrative text.
-
C.
hasProseAndVerse
Indicates that something contains both prose and verse forms within it.
-
D.
hasWrittenForm
Indicates that an entity is associated with a specific written or textual representation.
-
E.
hasProseDialogue
Indicates that one entity contains or features spoken or conversational content expressed in prose form involving another entity.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a03433dd64c8190ab620709153b6278 |
completed | May 12, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_6a034107e53881909127bac98cac3429 |
completed | May 12, 2026, 3:02 p.m. |
Created at: May 3, 2026, 4 p.m.