Triple
T14403801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Thayer Jr. |
E357142
|
entity |
| Predicate | notableDialogueStyle |
P32673
|
FINISHED |
| Object | wry humor |
—
|
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: wry humor | Statement: [Norman Thayer Jr., notableDialogueStyle, wry humor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDialogueStyle Context triple: [Norman Thayer Jr., notableDialogueStyle, wry humor]
-
A.
notableInterviewStyle
Indicates that one entity is particularly recognized for a distinctive or characteristic way of conducting interviews with others.
-
B.
typicalDialogueStyle
chosen
Indicates the characteristic manner or pattern in which an entity typically communicates or conducts dialogue.
-
C.
notableWorkStyle
Indicates a stylistic characteristic or distinctive manner associated with a notable work created by the subject.
-
D.
notableSubstyle
Indicates that one style is a notable or distinct subcategory within another broader style.
-
E.
notableQuoteStyle
Indicates the characteristic manner or style in which a notable quote is expressed or delivered.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90860ae481908e175decda8624d5 |
completed | April 14, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:17 a.m.