Triple
T12735403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaia King |
E304348
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Chance King |
E54277
|
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: Chance King | Statement: [Chaia King, hasRelative, Chance King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chance King Context triple: [Chaia King, hasRelative, Chance King]
-
A.
Chance King
chosen
Chance King is one of the younger sons of the late American television and radio host Larry King.
-
B.
Donald King
Donald King is a flamboyant and controversial American boxing promoter known for organizing some of the sport’s most famous heavyweight championship bouts.
-
C.
Jimmy King
Jimmy King is a former American college basketball player best known as one of the University of Michigan's famed "Fab Five" in the early 1990s.
-
D.
Rich King
Rich King is a musical artist known for collaborating on the project "Water & Garri."
-
E.
Alan King
Alan King was an American comedian and character actor known for his sharp observational humor and frequent film and television roles from the 1950s through the 1990s.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646b3ca08190b239f0736a01169d |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8e2dbc81909c1c85ca699a2679 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.