Triple
T14820510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K.C. Cooper |
E348436
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Marisa Clark |
E1172824
|
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: Marisa Clark | Statement: [K.C. Cooper, hasFriend, Marisa Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marisa Clark Context triple: [K.C. Cooper, hasFriend, Marisa Clark]
-
A.
Marisa Clark
chosen
Marisa Clark is a fun-loving, fashion-conscious best friend and sidekick to the main character in the Disney Channel spy-comedy series "K.C. Undercover."
-
B.
Claire Dodd
Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
-
C.
Claire Keim
Claire Keim is a French actress and singer known for her work in film, television, and music.
-
D.
Marisa Miller
Marisa Miller is an American supermodel best known for her work with Victoria’s Secret and appearances in the Sports Illustrated Swimsuit Issue.
-
E.
Claire Keesey
Claire Keesey is a Boston bank manager who becomes romantically involved with a career criminal, unaware of his role in the heist that traumatized her, in the film "The Town."
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe64328819083ce42704cf0602d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ec19c508190912c3fe186f8a992 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 1:50 a.m.