Triple
T31215961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tip of the Hat, Wag of the Finger |
E795869
|
entity |
| Predicate | typicalFormatLength |
P18065
|
FINISHED |
| Object | short segment within an episode |
—
|
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: short segment within an episode | Statement: [Tip of the Hat, Wag of the Finger, typicalFormatLength, short segment within an episode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFormatLength Context triple: [Tip of the Hat, Wag of the Finger, typicalFormatLength, short segment within an episode]
-
A.
typicalFormatDuration
Indicates the usual or standard length of time associated with a particular format or presentation of something.
-
B.
typicalNameLength
Indicates the usual or characteristic number of characters in the names of entities in a given context.
-
C.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
D.
typicalUsageFormat
Indicates the usual or standard way in which something is expressed, presented, or formatted in practice.
-
E.
formLength
Indicates the length or extent of a form, typically measured in units such as characters, fields, or physical dimensions.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:10 p.m.