Triple
T38503936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear Hank & John |
E919910
|
entity |
| Predicate | openingTagline |
P63461
|
FINISHED |
| Object | a comedy podcast about death |
—
|
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 comedy podcast about death | Statement: [Dear Hank & John, openingTagline, a comedy podcast about death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingTagline Context triple: [Dear Hank & John, openingTagline, a comedy podcast about death]
-
A.
openingLine
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
B.
openingName
Indicates the name or title assigned to a specific opening, such as an initial move, phase, or starting configuration in a structured sequence or activity.
-
C.
openingElement
Indicates that one entity serves as the initial or starting element within a structured sequence, group, or construct in relation to another.
-
D.
openingCharacter
Indicates that one entity is the first character or symbol at the beginning of another entity (such as a string, word, or text).
-
E.
openingCatchphrase
chosen
Indicates that one entity is a characteristic phrase or line regularly used by another entity at the beginning of a recurring performance, appearance, or communication.
- 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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:31 p.m.