Triple
T5053087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Carnes |
E113831
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Carnes |
E55185
|
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: Carnes | Statement: [Kim Carnes, hasSurname, Carnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carnes Context triple: [Kim Carnes, hasSurname, Carnes]
-
A.
Carnes
chosen
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
B.
Meat Eaters
"Meat Eaters" is an episode of the BBC nature documentary series *The Life of Mammals* that explores the behavior, adaptations, and ecology of carnivorous mammals.
-
C.
Hammon
Hammon is the surname of Becky Hammon, a prominent basketball coach and former professional player.
-
D.
Carnicer
Carnicer is a Spanish surname most notably associated with composer Ramón Carnicer, known for his contributions to 19th-century classical music.
-
E.
Comer
Comer is a surname most prominently associated with English actress Jodie Comer, known for her acclaimed role in the television series "Killing Eve."
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0fd25c081909ddf2d8eb77f33e7 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:38 p.m.