Triple
T12668753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worf |
E302622
|
entity |
| Predicate | adoptedBy |
P1034
|
FINISHED |
| Object |
Helena Rozhenko
Helena Rozhenko is a human woman in the Star Trek universe best known as the adoptive mother of the Klingon Starfleet officer Worf.
|
E1019259
|
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: Helena Rozhenko | Statement: [Worf, adoptedBy, Helena Rozhenko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helena Rozhenko Context triple: [Worf, adoptedBy, Helena Rozhenko]
-
A.
Irina Smirnova
Irina Smirnova is best known as the wife of legendary Soviet ice hockey player Valeri Kharlamov.
-
B.
Katerina Tikhonova
Katerina Tikhonova is a Russian academic and business executive widely reported to be one of Vladimir Putin’s daughters, known for her roles in scientific institutions and high-tech investment projects.
-
C.
Natalya Abramova
Natalya Abramova was a Soviet actress best known for her role in Andrei Tarkovsky’s acclaimed 1979 science fiction film "Stalker."
-
D.
Elena Sokolova
Elena Sokolova is a Russian figure skater known for being one of the world’s top competitors in the early 2000s, highlighted by her silver medal at the 2003 World Championships.
-
E.
Liza Voloshin
Liza Voloshin is a music video director known for her creative visual work, including directing the video for the song "Daisies."
- 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: Helena Rozhenko Triple: [Worf, adoptedBy, Helena Rozhenko]
Generated description
Helena Rozhenko is a human woman in the Star Trek universe best known as the adoptive mother of the Klingon Starfleet officer Worf.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helena Rozhenko Target entity description: Helena Rozhenko is a human woman in the Star Trek universe best known as the adoptive mother of the Klingon Starfleet officer Worf.
-
A.
Irina Smirnova
Irina Smirnova is best known as the wife of legendary Soviet ice hockey player Valeri Kharlamov.
-
B.
Katerina Tikhonova
Katerina Tikhonova is a Russian academic and business executive widely reported to be one of Vladimir Putin’s daughters, known for her roles in scientific institutions and high-tech investment projects.
-
C.
Natalya Abramova
Natalya Abramova was a Soviet actress best known for her role in Andrei Tarkovsky’s acclaimed 1979 science fiction film "Stalker."
-
D.
Elena Sokolova
Elena Sokolova is a Russian figure skater known for being one of the world’s top competitors in the early 2000s, highlighted by her silver medal at the 2003 World Championships.
-
E.
Liza Voloshin
Liza Voloshin is a music video director known for her creative visual work, including directing the video for the song "Daisies."
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5ea02e08190b3be1fdfe86b4ee5 |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d6e326408190b7906c7ea8e3ef85 |
completed | May 3, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d873b978819097962c82e8ffdac8 |
completed | May 3, 2026, 5:09 a.m. |
Created at: April 9, 2026, 5:20 p.m.