Triple
T22379557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koa (65) |
E553234
|
entity |
| Predicate | coSurvivorWith |
P34422
|
FINISHED |
| Object | Mills (65) |
—
|
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: Mills (65) | Statement: [Koa (65), coSurvivorWith, Mills (65)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mills (65) Context triple: [Koa (65), coSurvivorWith, Mills (65)]
-
A.
Mills
chosen
Mills is a common English surname borne by numerous notable individuals across fields such as music, politics, sports, and academia.
-
B.
Ali Mills
Ali Mills is a central teenage character in the original "The Karate Kid" film, known as Daniel LaRusso’s love interest and a key figure in the rivalry between him and Johnny Lawrence.
-
C.
Clark Mills
Clark Mills was a 19th-century American sculptor best known for creating prominent equestrian statues, including the famous statue of Andrew Jackson in Washington, D.C.
-
D.
Frank Mills
Frank Mills is a Canadian pianist and composer best known for his easy-listening instrumental hit "Music Box Dancer."
-
E.
Mr. Miller
Mr. Miller is a minor supporting character in Terence Rattigan’s postwar drama "The Deep Blue Sea," which explores themes of love, despair, and emotional repression in 1950s Britain.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582afe6c819093940f9d817c64a8 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.