Triple
T5464057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mike Pence Show |
E122661
|
entity |
| Predicate | hasCallInNumber |
P64214
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Mike Pence Show, hasCallInNumber, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCallInNumber Context triple: [The Mike Pence Show, hasCallInNumber, yes]
-
A.
hasTelephoneService
Indicates that a subject is provided with or connected to telephone service.
-
B.
callType
Indicates the category or nature of a call (such as its purpose, direction, or handling), distinguishing one kind of call from another.
-
C.
nowCalled
Indicates that an entity previously known by one name is currently referred to by a different name.
-
D.
callingCode
Indicates the telephone country or area code associated with an entity for making phone calls.
-
E.
hasCellService
Indicates that a location, device, or area is within range of a cellular network and can access mobile phone or data services.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd927b0b4c81909d5e0f594822e3f9 |
completed | March 20, 2026, 6:31 p.m. |
Created at: March 20, 2026, 2:08 p.m.