Triple
T7746841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristina Yang |
E175652
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Cristina
Cristina is a fictional cardiothoracic surgeon from the television series "Grey's Anatomy," known for her ambition, skill, and emotionally complex personality.
|
E686863
|
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: Cristina | Statement: [Cristina Yang, givenName, Cristina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cristina Context triple: [Cristina Yang, givenName, Cristina]
-
A.
Cristina
Cristina is one of the two free-spirited American women at the center of Woody Allen’s romantic drama film "Vicky Cristina Barcelona."
-
B.
Cristina
Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
-
C.
Cristina
Cristina is the wife of Brazilian basketball legend Oscar Schmidt.
-
D.
Cayetana
Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
-
E.
Maria Vargas
Maria Vargas is the charismatic Spanish dancer-turned-film-star at the center of the 1954 drama "The Barefoot Contessa," whose rise to fame and tragic fate drive the film's narrative.
- 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: Cristina Triple: [Cristina Yang, givenName, Cristina]
Generated description
Cristina is a fictional cardiothoracic surgeon from the television series "Grey's Anatomy," known for her ambition, skill, and emotionally complex personality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cristina Target entity description: Cristina is a fictional cardiothoracic surgeon from the television series "Grey's Anatomy," known for her ambition, skill, and emotionally complex personality.
-
A.
Cristina
Cristina is one of the two free-spirited American women at the center of Woody Allen’s romantic drama film "Vicky Cristina Barcelona."
-
B.
Cristina
Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
-
C.
Cristina
Cristina is the wife of Brazilian basketball legend Oscar Schmidt.
-
D.
Cayetana
Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
-
E.
Maria Vargas
Maria Vargas is the charismatic Spanish dancer-turned-film-star at the center of the 1954 drama "The Barefoot Contessa," whose rise to fame and tragic fate drive the film's narrative.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7038caa64819084f61b42a73c2d8b |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7c63c688190ac257a738759d59f |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c82f8f248190b0fc882b6c4c0554 |
completed | March 29, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8c516048190957d937f2f2273ad |
completed | March 29, 2026, 6:37 a.m. |
Created at: March 27, 2026, 4:08 p.m.