Triple
T23226656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visit to a Small Planet |
E581033
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Joan Blackman |
—
|
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: Joan Blackman | Statement: [Visit to a Small Planet, castMember, Joan Blackman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Blackman Context triple: [Visit to a Small Planet, castMember, Joan Blackman]
-
A.
Joan Blackman
chosen
Joan Blackman is an American actress best known for her leading roles opposite Elvis Presley in early 1960s films.
-
B.
Valerie Gaunt
Valerie Gaunt was a British actress best known for her roles in classic Hammer horror films of the 1950s.
-
C.
Morgana Jones
Morgana Jones is a musical artist known for releasing tracks such as “She Believes in Me.”
-
D.
Daphne Black
Daphne Black is best known as the wife of English actor Rodney Bewes, who starred in the classic British sitcom "The Likely Lads."
-
E.
Joan Stewart
Joan Stewart was a Scottish noblewoman of the 16th century, known as the daughter of Henry Stewart, 1st Lord Methven, and a member of the influential Stewart family.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922e2d2c81908c0f3fa5df8a5c58 |
completed | April 29, 2026, 5:07 a.m. |
Created at: April 17, 2026, 4:09 p.m.