Triple
T37710453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Bet Your Life |
E939315
|
entity |
| Predicate | originalRunMedium |
P204352
|
FINISHED |
| Object | radio and television |
—
|
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: radio and television | Statement: [You Bet Your Life, originalRunMedium, radio and television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalRunMedium Context triple: [You Bet Your Life, originalRunMedium, radio and television]
-
A.
originalRunType
Indicates the initial or primary category or mode under which a particular run, execution, or process was originally conducted.
-
B.
originalRunIncluded
Indicates that an entity’s initial or primary execution, performance, or airing is contained within or forms part of another specified run or collection of runs.
-
C.
originalMediumOfCharacter
Indicates the medium (such as book, film, game, etc.) in which a character first appeared or was originally created.
-
D.
mediumOfProduction
Indicates the method, material, or technology used to create or produce something.
-
E.
mediumOfRecord
Indicates the primary medium or format through which an event, work, or information is officially documented or recorded.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.