Triple
T30028173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh My God |
E762936
|
entity |
| Predicate | typicalSpeakerReaction |
P204150
|
FINISHED |
| Object | immediate response to unexpected events |
—
|
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: immediate response to unexpected events | Statement: [Oh My God, typicalSpeakerReaction, immediate response to unexpected events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpeakerReaction Context triple: [Oh My God, typicalSpeakerReaction, immediate response to unexpected events]
-
A.
reactionToRecognition
Indicates how an entity responds or behaves when it receives recognition, acknowledgment, or praise from another entity.
-
B.
causedReaction
Indicates that one entity’s action or state brought about a specific reaction or response in another entity.
-
C.
typicalSpeaker
Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
-
D.
reactionToBeingSeen
Indicates how an entity responds or behaves when it becomes aware that it is being observed by another entity.
-
E.
reactionToAccusation
Indicates how an entity responds or behaves when confronted with an accusation made by another entity.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a0337c7389c8190b71d27b8eb8daf9a |
completed | May 12, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_6a0335b7b1588190b02a0ce6a08704aa |
completed | May 12, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_6a0337c68714819099ab6a3ebe400852 |
completed | May 12, 2026, 2:23 p.m. |
Created at: April 29, 2026, 6:49 p.m.