Triple
T4507163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaia King |
E101358
|
entity |
| Predicate | name |
P16
|
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: [Chaia King, name, Chaia King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaia King Context triple: [Chaia King, name, 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.
Diana King
Diana King is a Jamaican singer-songwriter best known for her fusion of reggae, pop, and R&B, including hits like "Shy Guy" and acclaimed cover versions of classic songs.
-
D.
Naomi King
Naomi King is the daughter of renowned American horror novelist Stephen King.
-
E.
Tabitha King
Tabitha King is an American author known for her novels and short stories, and as the wife of writer Stephen King.
- 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.