Triple
T13882775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marni Nixon |
E333758
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Marni
Marni is a feminine given name, often used in English-speaking countries and associated with several notable artists and performers.
|
E1068617
|
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: Marni | Statement: [Marni Nixon, givenName, Marni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marni Context triple: [Marni Nixon, givenName, Marni]
-
A.
Marnie
Marnie is a 1964 psychological thriller film directed by Alfred Hitchcock, starring Tippi Hedren and Sean Connery, about a troubled woman with a mysterious past and compulsive thieving.
-
B.
Marnie
Marnie is the given name of Darcey Bussell, the renowned British ballerina and former principal dancer of The Royal Ballet.
-
C.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
-
D.
Martie
Martie is a diminutive given name, typically used as a familiar or affectionate form of the name Martha.
-
E.
Karenna
Karenna is an American lawyer, author, and environmental activist best known as the daughter of former U.S. Vice President Al Gore.
- 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: Marni Triple: [Marni Nixon, givenName, Marni]
Generated description
Marni is a feminine given name, often used in English-speaking countries and associated with several notable artists and performers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marni Target entity description: Marni is a feminine given name, often used in English-speaking countries and associated with several notable artists and performers.
-
A.
Marnie
Marnie is a 1964 psychological thriller film directed by Alfred Hitchcock, starring Tippi Hedren and Sean Connery, about a troubled woman with a mysterious past and compulsive thieving.
-
B.
Marnie
Marnie is the given name of Darcey Bussell, the renowned British ballerina and former principal dancer of The Royal Ballet.
-
C.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
-
D.
Martie
Martie is a diminutive given name, typically used as a familiar or affectionate form of the name Martha.
-
E.
Karenna
Karenna is an American lawyer, author, and environmental activist best known as the daughter of former U.S. Vice President Al Gore.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0bea4d248190bcbcea9ea875c5f9 |
completed | April 14, 2026, 9:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71419b481908a3ef80abec1bf23 |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c868bdfc8190a13379363d01568d |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c9732d188190a8a7151d21e0a310 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 10:15 p.m.