Triple
T20512935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Sweethearts |
E503608
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Van Heflin |
—
|
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: Van Heflin | Statement: [Seven Sweethearts, starring, Van Heflin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Van Heflin Context triple: [Seven Sweethearts, starring, Van Heflin]
-
A.
Van Heflin
chosen
Van Heflin was an American film and stage actor best known for his versatile character roles in classic Hollywood movies such as "Shane" and "Johnny Eager."
-
B.
Patricia Neal
Patricia Neal was an acclaimed American film, stage, and television actress best known for her Oscar-winning performance in "Hud" and her roles in classics like "The Day the Earth Stood Still."
-
C.
Anne Gwynne
Anne Gwynne was a popular American film and television actress of the 1940s, often remembered as one of the earliest "scream queens" in horror cinema.
-
D.
Grant Gish
Grant Gish is a television producer best known for his work as an executive producer on the animated series Marvel's M.O.D.O.K.
-
E.
Sylvia Sidney
Sylvia Sidney was an American actress known for her work in 1930s crime dramas and later roles in films like "Beetlejuice" and "Mars Attacks!".
- 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_69e69dcd74c48190b050e25c20154c09 |
completed | April 20, 2026, 9:42 p.m. |
Created at: April 16, 2026, 11:36 a.m.