Triple
T6435539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The G. Gordon Liddy Show |
E129884
|
entity |
| Predicate | hasInterviewSegment |
P56242
|
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 G. Gordon Liddy Show, hasInterviewSegment, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterviewSegment Context triple: [The G. Gordon Liddy Show, hasInterviewSegment, yes]
-
A.
hasAuthorInterviewRole
Indicates that an entity participates in an interview in the role of an author.
-
B.
hasGivenNumberOfInterviewsAbout
Indicates that an entity has conducted or participated in a specified number of interviews concerning another entity or topic.
-
C.
hasLiveSpokenIntroductions
Indicates that one entity provides live, spoken introductory remarks or presentations for another entity or event.
-
D.
interviewedBy
Indicates that an entity is the subject of an interview conducted by another entity.
-
E.
hasSpokenWordIntro
chosen
Indicates that an entity includes or features an introductory segment performed in spoken word form.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c069415c3c8190b91bd12ae79edd26 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:45 p.m.