Triple
T15368723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deliver Us from Evil |
E367485
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Ralph Sarchie |
E1155695
|
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: Ralph Sarchie | Statement: [Deliver Us from Evil, mainCharacter, Ralph Sarchie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Sarchie Context triple: [Deliver Us from Evil, mainCharacter, Ralph Sarchie]
-
A.
Ralph Sarchie
chosen
Ralph Sarchie is a former NYPD sergeant and demonologist known for his real-life accounts of investigating alleged demonic possessions and paranormal cases.
-
B.
Ralph Hart
Ralph Hart is an actor best known for his role on the classic American television sitcom "The Lucy Show."
-
C.
Ralph Partridge
Ralph Partridge was an English editor and member of the Bloomsbury Group, closely associated with figures like Lytton Strachey and Dora Carrington.
-
D.
Ralph Simpson
Ralph Simpson is a former professional basketball guard best known for his high-scoring play in the American Basketball Association during the early 1970s.
-
E.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4b88a881909f9575c02aed287d |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219863b48190a68e73c85e27472c |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:18 a.m.