Triple
T10090411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rexford Bedlo |
E215327
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Rexford Bedlo |
E215327
|
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: Rexford Bedlo | Statement: [Rexford Bedlo, fullName, Rexford Bedlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rexford Bedlo Context triple: [Rexford Bedlo, fullName, Rexford Bedlo]
-
A.
Rexford Bedlo
chosen
Rexford Bedlo is a bumbling sorcerer character portrayed by Peter Lorre in the 1963 horror-comedy film "The Raven."
-
B.
Roswell Gilpatric
Roswell Gilpatric was an American lawyer and government official who served as U.S. Deputy Secretary of Defense under President John F. Kennedy and played a key role during the Cuban Missile Crisis.
-
C.
Willard Huyck
Willard Huyck is an American filmmaker and screenwriter best known for his collaborations with George Lucas and his work on films such as "American Graffiti" and "Howard the Duck."
-
D.
Franklin Rood
Franklin Rood is the sadistic serial killer antagonist at the center of the 2012 horror film "Shiver."
-
E.
Chauncey Goss
Chauncey Goss is an American public official and policy analyst known for his work in fiscal policy and water management in Florida.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05960008190baecb8e4c9f2461f |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b69cd26c8190bf4b488377dc0ce1 |
completed | April 5, 2026, 7:23 p.m. |
Created at: March 30, 2026, 9:01 p.m.