Triple
T37710459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Bet Your Life |
E939315
|
entity |
| Predicate | secretWordFeature |
P129152
|
FINISHED |
| Object | a duck prop descends when the secret word is spoken |
—
|
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: a duck prop descends when the secret word is spoken | Statement: [You Bet Your Life, secretWordFeature, a duck prop descends when the secret word is spoken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secretWordFeature Context triple: [You Bet Your Life, secretWordFeature, a duck prop descends when the secret word is spoken]
-
A.
spanFeature
Indicates a relationship where a feature or characteristic extends across or covers a specified span or interval.
-
B.
keyFeature
Indicates that something is a primary, distinguishing, or most important feature of an entity.
-
C.
magicWord
chosen
Indicates that an entity is a special word or phrase that, when used, triggers a particular effect, action, or access.
-
D.
secretClause
Indicates that a clause or provision is intended to remain confidential and not be disclosed to unauthorized parties.
-
E.
linguisticFeature
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.