Triple
T9940053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Basinger |
E194055
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kimila
Kimila is the birth name of American actress and former fashion model Kim Basinger, known for her roles in films such as "L.A. Confidential" and "Batman."
|
E831429
|
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: Kimila | Statement: [Kim Basinger, givenName, Kimila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimila Context triple: [Kim Basinger, givenName, Kimila]
-
A.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
B.
Kara
Kara is a steel bracelet worn by Sikhs as a religious symbol of unity, restraint, and connection to the divine.
-
C.
Mia Ausa
Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
-
D.
Kiana
Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
-
E.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
- 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: Kimila Triple: [Kim Basinger, givenName, Kimila]
Generated description
Kimila is the birth name of American actress and former fashion model Kim Basinger, known for her roles in films such as "L.A. Confidential" and "Batman."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kimila Target entity description: Kimila is the birth name of American actress and former fashion model Kim Basinger, known for her roles in films such as "L.A. Confidential" and "Batman."
-
A.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
B.
Kara
Kara is a steel bracelet worn by Sikhs as a religious symbol of unity, restraint, and connection to the divine.
-
C.
Mia Ausa
Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
-
D.
Kiana
Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
-
E.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb60f4ffc8190bfe916bb4a7bf5c5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228fdb8e48190808702d48470395a |
completed | April 5, 2026, 9:18 a.m. |
| NEDg | Description generation | batch_69d22a2831348190909b9507edfe49f3 |
completed | April 5, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22af8914c8190a8116a37a42b633c |
completed | April 5, 2026, 9:27 a.m. |
Created at: March 30, 2026, 8:44 p.m.