Triple
T1746499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Kwan |
E38346
|
entity |
| Predicate | famousProgram |
P32079
|
FINISHED |
| Object | Lyra Angelica free skate |
—
|
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: Lyra Angelica free skate | Statement: [Michelle Kwan, famousProgram, Lyra Angelica free skate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousProgram Context triple: [Michelle Kwan, famousProgram, Lyra Angelica free skate]
-
A.
notableProgramType
Indicates that the subject is recognized for or associated with a particular type or category of program.
-
B.
notableProgramming
Indicates that an entity is notably associated with programming, such as being recognized for significant work, skill, or contributions in the field of programming.
-
C.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
D.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
E.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab630cb34881908c9fb7ed5dedcd77 |
completed | March 6, 2026, 11:28 p.m. |
Created at: March 4, 2026, 7:31 p.m.