Triple
T2815694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannon King |
E54278
|
entity |
| Predicate | sibling |
P363
|
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: [Cannon King, sibling, Chance King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chance King Context triple: [Cannon King, sibling, 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.
Charles King
Charles King is a film editor known for his work on major Hollywood productions, including Star Wars: Episode III – Revenge of the Sith.
-
D.
Cecil King
Cecil King is a notable British newspaper executive and publisher who played a major role in mid-20th-century media, particularly through his leadership of the Daily Mirror.
-
E.
Jonathan King
Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4ed4ac81909f1ec4a3f7869bc1 |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d64629481909da4c7b4f6c96c44 |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 9:59 p.m.