Triple
T10031810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolf (male part in "Baby, It’s Cold Outside") |
E204868
|
entity |
| Predicate | dialogueStructureRole |
P9564
|
FINISHED |
| Object | initiator of persuasion |
—
|
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: initiator of persuasion | Statement: [Wolf (male part in "Baby, It’s Cold Outside"), dialogueStructureRole, initiator of persuasion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialogueStructureRole Context triple: [Wolf (male part in "Baby, It’s Cold Outside"), dialogueStructureRole, initiator of persuasion]
-
A.
roleInDialogue
chosen
Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
-
B.
dialogueStructureContribution
Indicates how an entity contributes to the organization, flow, or structure of a dialogue or conversational exchange.
-
C.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
D.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
E.
dialoguePosition
Indicates the relative placement or ordering of an utterance or turn within a dialogue or conversational sequence.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce461d6481908cc8f968856e0337 |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.