Triple
T24534141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stars in Their Eyes |
E606897
|
entity |
| Predicate | closingSequence |
P124939
|
FINISHED |
| Object | reveal of audience vote winner |
—
|
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: reveal of audience vote winner | Statement: [Stars in Their Eyes, closingSequence, reveal of audience vote winner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closingSequence Context triple: [Stars in Their Eyes, closingSequence, reveal of audience vote winner]
-
A.
closingSequenceFeature
chosen
Indicates a feature or element that appears specifically in the closing sequence of an event, process, or media item.
-
B.
closingSection
Indicates that one entity serves as the concluding or final section of another entity (such as a document, event, or structured sequence).
-
C.
closingPosition
Indicates that an entity terminates, finalizes, or brings to an end the position or state of another entity.
-
D.
closingMotif
Indicates a recurring element, theme, or pattern that appears at the end of a work or segment, signaling closure or conclusion.
-
E.
closureCompleted
Indicates that a previously initiated closure process or shutdown has been fully and successfully completed.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.