Triple
T4507178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaia King |
E101358
|
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: [Chaia King, sibling, Chance King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chance King Context triple: [Chaia 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.
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.
-
D.
Mark King
Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
-
E.
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.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570e7bb8819097f7a575384a10a8 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6fa0e3948190b7667e3db2131c1f |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1:01 p.m.