Triple
T13994822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Down |
E336666
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jared Cotter |
E922280
|
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: Jared Cotter | Statement: [Down, writer, Jared Cotter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jared Cotter Context triple: [Down, writer, Jared Cotter]
-
A.
Jared Cotter
chosen
Jared Cotter is an American singer, songwriter, and television host who gained national attention as a contestant on the sixth season of American Idol.
-
B.
Todd Keller
Todd Keller is a musician best known for his past role as a member of the American psychedelic rock band The Black Angels.
-
C.
Matt Mattox
Matt Mattox was an American jazz and musical theatre dancer and choreographer, best known for his athletic, angular style and influential work in mid-20th-century stage and film musicals.
-
D.
Ryan Yarbrough
Ryan Yarbrough is an American professional baseball pitcher known for his tenure with the Tampa Bay Rays in Major League Baseball.
-
E.
Chad Feldheimer
Chad Feldheimer is a dim-witted but enthusiastic gym employee whose discovery of what he believes to be sensitive government information drives much of the darkly comic chaos in the film "Burn After Reading."
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9a7e8c8190a0fd0cd67ff50741 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.