Triple
T13520087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Code 46 |
E322869
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Maria Gonzales
Maria Gonzales is a fictional character featured in the narrative of Code 46.
|
E1086200
|
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: Maria Gonzales | Statement: [Code 46, hasCharacter, Maria Gonzales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Gonzales Context triple: [Code 46, hasCharacter, Maria Gonzales]
-
A.
Maria Gonzalez
Maria Gonzalez is known as the spouse of Academy Award–winning film editor Stephen Mirrione.
-
B.
Rosa Gonzales
Rosa Gonzales is a passionate, free-spirited young woman who serves as a romantic foil to the more repressed Alma in Tennessee Williams’s play "Summer and Smoke."
-
C.
Yolanda Magaña
Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
-
D.
Sylvia Garcia
Sylvia Garcia is a Democratic U.S. Representative from Texas known for her advocacy on immigration, social justice, and economic equality issues.
-
E.
Martha Sandoval
Martha Sandoval is the plaintiff whose challenge to Alabama's English-only driver's license policy led to the landmark U.S. Supreme Court case Alexander v. Sandoval on private enforcement of disparate-impact regulations.
- 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: Maria Gonzales Triple: [Code 46, hasCharacter, Maria Gonzales]
Generated description
Maria Gonzales is a fictional character featured in the narrative of Code 46.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Gonzales Target entity description: Maria Gonzales is a fictional character featured in the narrative of Code 46.
-
A.
Maria Gonzalez
Maria Gonzalez is known as the spouse of Academy Award–winning film editor Stephen Mirrione.
-
B.
Rosa Gonzales
Rosa Gonzales is a passionate, free-spirited young woman who serves as a romantic foil to the more repressed Alma in Tennessee Williams’s play "Summer and Smoke."
-
C.
Yolanda Magaña
Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
-
D.
Sylvia Garcia
Sylvia Garcia is a Democratic U.S. Representative from Texas known for her advocacy on immigration, social justice, and economic equality issues.
-
E.
Martha Sandoval
Martha Sandoval is the plaintiff whose challenge to Alabama's English-only driver's license policy led to the landmark U.S. Supreme Court case Alexander v. Sandoval on private enforcement of disparate-impact regulations.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa3df0c8190804174695587f0ea |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19259070819089bd3caf66e5af29 |
completed | May 7, 2026, 10:58 p.m. |
| NEDg | Description generation | batch_69fd1ad65b608190b325c82347a3d8b3 |
completed | May 7, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1b68e8288190a9e9e3d855ed2719 |
completed | May 7, 2026, 11:08 p.m. |
Created at: April 9, 2026, 9:44 p.m.