Triple
T28669202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Summers |
E725662
|
entity |
| Predicate | toneDuringLottery |
P48342
|
FINISHED |
| Object | cheerfully businesslike |
—
|
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: cheerfully businesslike | Statement: [Mr. Summers, toneDuringLottery, cheerfully businesslike]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toneDuringLottery Context triple: [Mr. Summers, toneDuringLottery, cheerfully businesslike]
-
A.
toneCount
Indicates the number of distinct tones or tonal elements associated with an entity or expression.
-
B.
toneCategory
Indicates the tonal classification or type assigned to an entity, such as its pitch pattern, mood, or prosodic category.
-
C.
tone
Indicates the characteristic attitude or emotional quality expressed in how something is communicated or presented.
-
D.
soundMotif
Indicates a recurring or thematically significant sound pattern associated with an entity, event, or context.
-
E.
toneAroundCharacter
chosen
Indicates the emotional or stylistic tone expressed in the narrative or dialogue surrounding a specific character.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:02 a.m.