Triple
T13258646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Gonzalo |
E315729
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Andrea Rojas
Andrea Rojas is a character in the Arrowverse TV series "Supergirl," known as a driven media mogul and the CEO of Obsidian North.
|
E1031673
|
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: Andrea Rojas | Statement: [Julie Gonzalo, playedCharacter, Andrea Rojas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Rojas Context triple: [Julie Gonzalo, playedCharacter, Andrea Rojas]
-
A.
Andrea Guerra
Andrea Guerra is an Italian composer best known for his film scores, including his work on major international productions.
-
B.
Andrea Roa
Andrea Roa is a film producer known for her work on the psychological horror movie "It Comes at Night."
-
C.
Margot Olavarria
Margot Olavarria is an American musician best known as the original bassist of the pioneering all-female punk/new wave band the Go-Go’s.
-
D.
Claudia Valenzuela
Claudia Valenzuela is a notable individual who shares the Valenzuela surname, recognized enough to be cited as a distinguished bearer of the name.
-
E.
Andrea Salinas
Andrea Salinas is a Democratic U.S. Representative from Oregon known for her work on voting rights, environmental policy, and healthcare access.
- 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: Andrea Rojas Triple: [Julie Gonzalo, playedCharacter, Andrea Rojas]
Generated description
Andrea Rojas is a character in the Arrowverse TV series "Supergirl," known as a driven media mogul and the CEO of Obsidian North.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrea Rojas Target entity description: Andrea Rojas is a character in the Arrowverse TV series "Supergirl," known as a driven media mogul and the CEO of Obsidian North.
-
A.
Andrea Guerra
Andrea Guerra is an Italian composer best known for his film scores, including his work on major international productions.
-
B.
Andrea Roa
Andrea Roa is a film producer known for her work on the psychological horror movie "It Comes at Night."
-
C.
Margot Olavarria
Margot Olavarria is an American musician best known as the original bassist of the pioneering all-female punk/new wave band the Go-Go’s.
-
D.
Claudia Valenzuela
Claudia Valenzuela is a notable individual who shares the Valenzuela surname, recognized enough to be cited as a distinguished bearer of the name.
-
E.
Andrea Salinas
Andrea Salinas is a Democratic U.S. Representative from Oregon known for her work on voting rights, environmental policy, and healthcare access.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a444b4c8190a5dd95460ac96cc7 |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70d50b6148190a0cbc31d9937d59e |
completed | May 3, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70e14389881908787a64ddead9707 |
completed | May 3, 2026, 8:57 a.m. |
Created at: April 9, 2026, 9:25 p.m.