Triple
T17748165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helstrom |
E443039
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object |
Ariana Guerra
Ariana Guerra is an American actress best known for her prominent role in the Marvel Television horror series "Helstrom."
|
E1296663
|
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: Ariana Guerra | Statement: [Helstrom, leadActor, Ariana Guerra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariana Guerra Context triple: [Helstrom, leadActor, Ariana Guerra]
-
A.
Dulce María Loynaz
Dulce María Loynaz was a renowned Cuban poet and writer, celebrated as one of the most important voices in 20th-century Cuban and Latin American literature.
-
B.
Coral Peña
Coral Peña is an actress best known for her role in the television series "24: Legacy."
-
C.
Elida Reyna
Elida Reyna is an American Tejano singer widely recognized for her influential role in modern Tejano music and multiple award-winning recordings.
-
D.
Isela Vega
Isela Vega was a renowned Mexican actress, singer, and filmmaker known for her bold, groundbreaking roles in Mexican cinema and cult films of the 1970s.
-
E.
Isabel Guzmán
Isabel Guzmán is an American government official who serves as the Administrator of the U.S. Small Business Administration, overseeing federal support for small businesses and entrepreneurs.
- 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: Ariana Guerra Triple: [Helstrom, leadActor, Ariana Guerra]
Generated description
Ariana Guerra is an American actress best known for her prominent role in the Marvel Television horror series "Helstrom."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ariana Guerra Target entity description: Ariana Guerra is an American actress best known for her prominent role in the Marvel Television horror series "Helstrom."
-
A.
Dulce María Loynaz
Dulce María Loynaz was a renowned Cuban poet and writer, celebrated as one of the most important voices in 20th-century Cuban and Latin American literature.
-
B.
Coral Peña
Coral Peña is an actress best known for her role in the television series "24: Legacy."
-
C.
Elida Reyna
Elida Reyna is an American Tejano singer widely recognized for her influential role in modern Tejano music and multiple award-winning recordings.
-
D.
Isela Vega
Isela Vega was a renowned Mexican actress, singer, and filmmaker known for her bold, groundbreaking roles in Mexican cinema and cult films of the 1970s.
-
E.
Isabel Guzmán
Isabel Guzmán is an American government official who serves as the Administrator of the U.S. Small Business Administration, overseeing federal support for small businesses and entrepreneurs.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad46a50819089c87f74efe3c7ca |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03211d93e081909aaa6287be791407 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a032261fd1081909ba0b04db93d16da |
completed | May 12, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03232d682c8190bb9b8773609c83c2 |
completed | May 12, 2026, 12:55 p.m. |
Created at: April 10, 2026, 10:10 a.m.