Triple
T2815696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannon King |
E54278
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Chaia King |
E304348
|
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: Chaia King | Statement: [Cannon King, sibling, Chaia King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaia King Context triple: [Cannon King, sibling, Chaia King]
-
A.
Chaia King
chosen
Chaia King is a private individual known primarily as a relative of Chance King.
-
B.
Chaia King
Chaia King was an American author and the daughter of legendary television and radio host Larry King.
-
C.
Naomi King
Naomi King is the daughter of renowned American horror novelist Stephen King.
-
D.
Tabitha King
Tabitha King is an American author known for her novels and short stories, and as the wife of writer Stephen King.
-
E.
Andrea King
Andrea King was an American film and television actress best known for her roles in 1940s and 1950s Hollywood thrillers and dramas.
- 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.