Triple
T16296509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leave Her to Heaven |
E395660
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Vincent Price |
E144309
|
NE FINISHED |
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: Vincent Price | Statement: [Leave Her to Heaven, starring, Vincent Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Price Context triple: [Leave Her to Heaven, starring, Vincent Price]
-
A.
Vincent Price
chosen
Vincent Price was an American actor renowned for his distinctive voice and charismatic presence, particularly in classic horror films and gothic dramas.
-
B.
Vincent E. Price
Vincent E. Price is an American political communication scholar and academic leader who serves as the president of Duke University.
-
C.
Harvey Whittemore
Harvey Whittemore is a Nevada lobbyist and land developer best known for spearheading the controversial Coyote Springs master-planned community project.
-
D.
Henry Hull
Henry Hull was an American character actor best known for his prolific work in early 20th-century stage and film, including notable roles in classic Hollywood productions.
-
E.
Laird Cregar
Laird Cregar was an American character actor of the early 1940s, known for his imposing presence and memorable performances in film noir and period dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2dcdac819083918f0964dd5666 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9b42248190a3c8c2647a42aeb9 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.