Triple
T5783360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kris Allen |
E128212
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kris Allen |
E128212
|
NE 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: Kris Allen | Statement: [Kris Allen, name, Kris Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kris Allen Context triple: [Kris Allen, name, Kris Allen]
-
A.
Kris Allen
chosen
Kris Allen is an American singer-songwriter best known as the winner of the eighth season of "American Idol."
-
B.
Gene Pitney
Gene Pitney was an American singer-songwriter known for his dramatic pop hits of the 1960s, including "Town Without Pity" and "Only Love Can Break a Heart."
-
C.
Ruben Studdard
Ruben Studdard is an American R&B and gospel singer best known as the winner of the second season of "American Idol."
-
D.
Nick Lachey
Nick Lachey is an American singer, television personality, and actor best known as a member of the pop and R&B boy band 98 Degrees and for his subsequent solo and TV hosting career.
-
E.
Jeff Freeman
Jeff Freeman is a film editor known for his work on major Hollywood comedies, including serving as the editor of the movie "Ted 2."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098112a1c8190a8aacb208c544959 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:50 p.m.