Triple
T33404285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben (Burning) |
E855394
|
entity |
| Predicate | notableDialogueElement |
P206451
|
FINISHED |
| Object | casual discussion of crime as a hobby |
—
|
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: casual discussion of crime as a hobby | Statement: [Ben (Burning), notableDialogueElement, casual discussion of crime as a hobby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDialogueElement Context triple: [Ben (Burning), notableDialogueElement, casual discussion of crime as a hobby]
-
A.
notableDialogueFunction
Indicates that a dialogue or conversational exchange plays a particularly important or distinguished functional role within a work or context.
-
B.
hasDialogueAbout
Indicates that one entity engages in dialogue or conversation concerning the topic, subject, or entity specified by the other.
-
C.
hasDialogueIn
Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
-
D.
hasIconicDialogue
Indicates that an entity (such as a work or scene) contains dialogue that is widely recognized, memorable, and strongly associated with it.
-
E.
hasWrittenDialogueFor
Indicates that one entity has created or authored dialogue content for another entity, such as a work, project, or production.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:36 a.m.