Triple
T5018357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Underwood |
E112788
|
entity |
| Predicate | appearsInVersion |
P24987
|
FINISHED |
| Object | U.S. adaptation of House of Cards |
—
|
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: U.S. adaptation of House of Cards | Statement: [Frank Underwood, appearsInVersion, U.S. adaptation of House of Cards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInVersion Context triple: [Frank Underwood, appearsInVersion, U.S. adaptation of House of Cards]
-
A.
alsoAvailableInVersion
Indicates that the same item, feature, or content is offered in another specified version or edition.
-
B.
introducedInProduct
Indicates that something (such as a feature, component, or concept) first appeared or was initially made available within a particular product.
-
C.
hasVersionIn
chosen
Indicates that one entity exists as a specific version or variant within the context, format, or system represented by another entity.
-
D.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
E.
officialVersionSince
Indicates the point in time from which a particular version of something is recognized or treated as the official version.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73415e088190802f9bb283262386 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.