Triple
T16106153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twilight: Los Angeles |
E390742
|
entity |
| Predicate | dialogueSource |
P83612
|
FINISHED |
| Object | verbatim transcripts |
—
|
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: verbatim transcripts | Statement: [Twilight: Los Angeles, dialogueSource, verbatim transcripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialogueSource Context triple: [Twilight: Los Angeles, dialogueSource, verbatim transcripts]
-
A.
dialogueContext
Indicates the situational and conversational background in which a dialogue occurs, including prior exchanges and relevant circumstances that shape its interpretation.
-
B.
dialoguesBy
chosen
Indicates that one entity is the creator, author, or source of the dialogues associated with another entity.
-
C.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
D.
dialogue
Indicates that two or more entities are engaged in an exchange of spoken or written communication with each other.
-
E.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.