Triple
T5783227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leona Lewis |
E128209
|
entity |
| Predicate | yearOfXFactorWin |
P31224
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Leona Lewis, yearOfXFactorWin, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfXFactorWin Context triple: [Leona Lewis, yearOfXFactorWin, 2006]
-
A.
yearOfWin
chosen
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
B.
recordOfTheYearWinnerArtist
Indicates the artist who won the Record of the Year award for a given recording or year.
-
C.
AmericanIdolSeason
Indicates that one entity is a specific season of the television show "American Idol" associated with another entity (such as the series itself or a particular year).
-
D.
AlbumOfTheYearWinner
Indicates that the subject is the album that won the Album of the Year award in the specified context or year.
-
E.
winnerOfVideoOfTheYear
Indicates that the subject is the recipient of the Video of the Year award for the specified video or event.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a184870819084251554eae1e33c |
completed | March 22, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:50 p.m.