Triple
T5143515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Roddenberry |
E116014
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
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.
|
E498105
|
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: Majel Barrett | Statement: [Gene Roddenberry, spouse, Majel Barrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Majel Barrett Context triple: [Gene Roddenberry, spouse, Majel Barrett]
-
A.
Tricia Helfer
Tricia Helfer is a Canadian actress and former model best known for her iconic role as the humanoid Cylon Number Six in the reimagined Battlestar Galactica television series.
-
B.
Carrie Fisher
Carrie Fisher was an American actress and writer best known for her iconic role as Princess Leia in the Star Wars film series.
-
C.
Beth Riesgraf
Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
-
D.
Marina Sirtis
Marina Sirtis is a British-American actress best known for playing Counselor Deanna Troi in the Star Trek franchise, particularly in Star Trek: The Next Generation.
-
E.
Celeste Van Dien
Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
- 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: Majel Barrett Triple: [Gene Roddenberry, spouse, Majel Barrett]
Generated description
Majel Barrett was an American actress and producer best known for her multiple iconic roles and voice work across the Star Trek franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Majel Barrett Target entity description: Majel Barrett was an American actress and producer best known for her multiple iconic roles and voice work across the Star Trek franchise.
-
A.
Tricia Helfer
Tricia Helfer is a Canadian actress and former model best known for her iconic role as the humanoid Cylon Number Six in the reimagined Battlestar Galactica television series.
-
B.
Carrie Fisher
Carrie Fisher was an American actress and writer best known for her iconic role as Princess Leia in the Star Wars film series.
-
C.
Beth Riesgraf
Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
-
D.
Marina Sirtis
Marina Sirtis is a British-American actress best known for playing Counselor Deanna Troi in the Star Trek franchise, particularly in Star Trek: The Next Generation.
-
E.
Celeste Van Dien
Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7883004881909c763da818d9b6e2 |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfec5c108190a3882c25118179a7 |
completed | March 21, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_69bed07c9cd081908f8246e24b2f6458 |
completed | March 21, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed1013fe88190b76855a042226359 |
completed | March 21, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:43 p.m.