Triple
T9099106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Trek: Voyager |
E218104
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Roxann Dawson
Roxann Dawson is an American actress and director best known for playing Chief Engineer B'Elanna Torres on the television series Star Trek: Voyager.
|
E778105
|
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: Roxann Dawson | Statement: [Star Trek: Voyager, portrayedBy, Roxann Dawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roxann Dawson Context triple: [Star Trek: Voyager, portrayedBy, Roxann Dawson]
-
A.
Kate Mara
Kate Mara is an American actress known for her roles in films like "The Martian" and "Brokeback Mountain" and TV series such as "House of Cards."
-
B.
Julie Benz
Julie Benz is an American actress best known for her roles on television series such as "Buffy the Vampire Slayer," "Angel," and "Dexter."
-
C.
Charena Swann
Charena Swann is the wife of former NFL star and Pro Football Hall of Famer Lynn Swann.
-
D.
Zoe Saldana
Zoe Saldana is an American actress known for her prominent roles in major science fiction and fantasy franchises, including Star Trek, Avatar, and the Marvel Cinematic Universe.
-
E.
Majel Barrett
Majel Barrett was an American actress and producer best known for her multiple iconic roles and voice work across the Star Trek franchise.
- 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: Roxann Dawson Triple: [Star Trek: Voyager, portrayedBy, Roxann Dawson]
Generated description
Roxann Dawson is an American actress and director best known for playing Chief Engineer B'Elanna Torres on the television series Star Trek: Voyager.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roxann Dawson Target entity description: Roxann Dawson is an American actress and director best known for playing Chief Engineer B'Elanna Torres on the television series Star Trek: Voyager.
-
A.
Kate Mara
Kate Mara is an American actress known for her roles in films like "The Martian" and "Brokeback Mountain" and TV series such as "House of Cards."
-
B.
Julie Benz
Julie Benz is an American actress best known for her roles on television series such as "Buffy the Vampire Slayer," "Angel," and "Dexter."
-
C.
Charena Swann
Charena Swann is the wife of former NFL star and Pro Football Hall of Famer Lynn Swann.
-
D.
Zoe Saldana
Zoe Saldana is an American actress known for her prominent roles in major science fiction and fantasy franchises, including Star Trek, Avatar, and the Marvel Cinematic Universe.
-
E.
Majel Barrett
Majel Barrett was an American actress and producer best known for her multiple iconic roles and voice work across the Star Trek franchise.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9710ac04819096b9c8d3399b9c35 |
completed | April 1, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01824ee2081909cc5e6ae33fab2e5 |
completed | April 3, 2026, 7:42 p.m. |
| NEDg | Description generation | batch_69d019666cb08190b66298ff86a7e1af |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01a700ce48190868d445bde2462dc |
completed | April 3, 2026, 7:52 p.m. |
Created at: March 30, 2026, 7:15 p.m.