Triple
T23074490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bride of the Monster |
E575291
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Loretta King |
—
|
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: Loretta King | Statement: [Bride of the Monster, starring, Loretta King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loretta King Context triple: [Bride of the Monster, starring, Loretta King]
-
A.
Loretta King
Loretta King is a character portrayed by actress Juliet Landau, best known from her role in the film "Ed Wood."
-
B.
Loretta King
chosen
Loretta King was an American actress best known for her leading role in Ed Wood’s cult science-fiction film "Bride of the Monster" (1955).
-
C.
Loretta Rogers
Loretta Rogers is a Canadian philanthropist and longtime director of Rogers Communications, known as the widow of company founder Ted Rogers.
-
D.
Loretta Williams
Loretta Williams is the twin sister of American actor Billy Dee Williams, known for his roles in films such as "Lady Sings the Blues" and the "Star Wars" franchise.
-
E.
Loretta Stinson
Loretta Stinson is a recurring character on the sitcom "How I Met Your Mother," known as Barney Stinson’s outspoken and overbearing mother.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c61bb7c8190a3d9b1fba173cdff |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.