Triple
T15147888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nixon Interviews |
E361861
|
entity |
| Predicate | wasRecordedIn |
P117505
|
FINISHED |
| Object | 1977 |
—
|
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: 1977 | Statement: [The Nixon Interviews, wasRecordedIn, 1977]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasRecordedIn Context triple: [The Nixon Interviews, wasRecordedIn, 1977]
-
A.
laterRecordedIn
Indicates that the referenced information or event was documented or captured at a later time in the specified source or record.
-
B.
recordedForFilm
Indicates that an audio or performance was captured specifically for use in a film production.
-
C.
filmedFor
Indicates that something was recorded or produced specifically for a particular purpose, audience, platform, or project.
-
D.
filmedAs
Indicates that an entity was recorded or captured in a particular form, version, or role during a filming or production process.
-
E.
recordedAsPartOf
Indicates that an event or item was documented within, or as a component of, a larger recording or record.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c825a481909d00098b0e743365 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:07 a.m.