Triple
T20214752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy |
E493587
|
entity |
| Predicate | hasWrittenAbout |
P14097
|
FINISHED |
| Object | Chris King |
—
|
NE NERFINISHED |
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: Chris King | Statement: [Amy, hasWrittenAbout, Chris King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris King Context triple: [Amy, hasWrittenAbout, Chris King]
-
A.
Chris King
chosen
Chris King is an individual known for being the subject of writing by Amy.
-
B.
Chris King
Chris King is a film editor known for his work on acclaimed documentaries, including the 2015 film "Amy" about singer Amy Winehouse.
-
C.
George Hincapie
George Hincapie is an American former professional road cyclist best known as a long-time domestique for Lance Armstrong and a key figure in the U.S. Postal Service team's doping scandal.
-
D.
Tony Martin
Tony Martin is an English heavy metal vocalist best known for his multiple tenures as lead singer of Black Sabbath during the late 1980s and 1990s.
-
E.
Tony Martin
Tony Martin was an American pop singer and actor popular from the 1930s through the 1950s, known for his smooth baritone voice and appearances in numerous Hollywood musicals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8101081908e53a8bde48624b1 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.