Triple
T16324374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Dunkleman |
E396374
|
entity |
| Predicate | interviewTopic |
P122715
|
FINISHED |
| Object | experience on American Idol |
—
|
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: experience on American Idol | Statement: [Brian Dunkleman, interviewTopic, experience on American Idol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interviewTopic Context triple: [Brian Dunkleman, interviewTopic, experience on American Idol]
-
A.
questionTopic
Indicates that a question is about, concerns, or is primarily focused on a particular topic or subject.
-
B.
coveredTopics
Indicates that certain subjects or themes have been addressed or included within a discussion, document, or activity.
-
C.
interviewSeries
Indicates a relationship where multiple interviews are organized as a connected, sequential series under a common theme or context.
-
D.
usesInterviews
Indicates that one entity employs interviews as a method or tool in relation to another entity or process.
-
E.
isInterviewBased
Indicates that something (such as a study, article, or decision) is based primarily on information gathered through interviews.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.