Triple
T20518126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Seed |
E503732
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Carey Wilber |
—
|
NE NERFINISHED |
How this triple was built (2 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: Carey Wilber | Statement: [Space Seed, storyBy, Carey Wilber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carey Wilber Context triple: [Space Seed, storyBy, Carey Wilber]
-
A.
Carey Wilber
chosen
Carey Wilber was an American television writer best known for his work on classic series such as Star Trek, for which he created the character Khan Noonien Singh.
-
B.
Jennifer Sallison
Jennifer Sallison is a fictional character portrayed by actress Shari Headley, best known from her work in film and television.
-
C.
Dana A. Dorsey
Dana A. Dorsey was a prominent African American businessman and Miami’s first Black millionaire, known for his significant contributions to real estate and community development in the early 20th century.
-
D.
Kathleen Snodgrass
Kathleen Snodgrass is known as the spouse of Pulitzer Prize–winning American poet W. D. Snodgrass.
-
E.
Susan A. Houghton
Susan A. Houghton was the wife of American inventor Elisha Otis, known for his development of the safety elevator.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f43e0b08190b043f35645b264a0 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.