Triple
T24534140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stars in Their Eyes |
E606897
|
entity |
| Predicate | openingSequence |
P156634
|
FINISHED |
| Object | interview with contestant before transformation |
—
|
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: interview with contestant before transformation | Statement: [Stars in Their Eyes, openingSequence, interview with contestant before transformation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingSequence Context triple: [Stars in Their Eyes, openingSequence, interview with contestant before transformation]
-
A.
openingSequenceFormat
Indicates the specific structural or stylistic format used for an opening sequence in a work or presentation.
-
B.
openingSequenceWorkPerformed
Indicates that a specific work is performed as the opening sequence of a larger performance or program.
-
C.
openingSequenceType
Indicates the specific kind or category of an opening sequence associated with an entity or event.
-
D.
openingStage
Indicates the initial phase or first part of a process, event, or sequence in which subsequent stages will follow.
-
E.
openingSequenceLanguage
Indicates the language used in the opening sequence of a work or media item.
- 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_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. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:25 a.m.