Triple
T37667068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael |
E937848
|
entity |
| Predicate | initialReactionToET |
P193759
|
FINISHED |
| Object | skeptical |
—
|
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: skeptical | Statement: [Michael, initialReactionToET, skeptical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialReactionToET Context triple: [Michael, initialReactionToET, skeptical]
-
A.
initialReactionToHusbandsDeath
Indicates the person's immediate emotional or behavioral response upon learning of her husband's death.
-
B.
reactionToTrial
Indicates the emotional or behavioral response an entity has toward a specific trial, test, or experimental event.
-
C.
reactionToRecognition
Indicates how an entity responds or behaves when it receives recognition, acknowledgment, or praise from another entity.
-
D.
initialUSResponse
Indicates the nature or content of the United States’ first reaction or action taken in response to a particular event, situation, or stimulus.
-
E.
initialReception
Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: May 3, 2026, 4:18 p.m.