Triple
T953694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Carnes |
E20578
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kim
Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
|
E113831
|
NE FINISHED |
How this triple was built (4 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: Kim | Statement: [Kim Carnes, givenName, Kim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Context triple: [Kim Carnes, givenName, Kim]
-
A.
Karen
Karen is a common feminine given name used in many English-speaking and European countries.
-
B.
Karen
The Karen are an indigenous ethnic group of Southeast Asia, primarily living in Myanmar and Thailand, with distinct languages, cultures, and a long history of political struggle and displacement.
-
C.
Kevin
Kevin is the given name of Kevin Garnett, a Hall of Fame American professional basketball player known for his intensity, versatility, and NBA championship with the Boston Celtics.
-
D.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
E.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kim Triple: [Kim Carnes, givenName, Kim]
Generated description
Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Target entity description: Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
-
A.
Karen
Karen is a common feminine given name used in many English-speaking and European countries.
-
B.
Karen
The Karen are an indigenous ethnic group of Southeast Asia, primarily living in Myanmar and Thailand, with distinct languages, cultures, and a long history of political struggle and displacement.
-
C.
Kevin
Kevin is the given name of Kevin Garnett, a Hall of Fame American professional basketball player known for his intensity, versatility, and NBA championship with the Boston Celtics.
-
D.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
E.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
- F. None of above. chosen
Provenance (5 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d8f2e0819097554a301f8aa70f |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac119fd16c81908c43b6d3dc6d53b6 |
completed | March 7, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69ac12248f1c81908b9bd511e4363130 |
completed | March 7, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac12c786ac81909938e043a1e2e8b9 |
completed | March 7, 2026, 11:57 a.m. |
Created at: March 1, 2026, 7:40 p.m.