Triple
T10090399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Scarabus |
E215326
|
entity |
| Predicate | conflictWith |
P4897
|
FINISHED |
| Object | Dr. Bedlo |
E218090
|
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: Dr. Bedlo | Statement: [Dr. Scarabus, conflictWith, Dr. Bedlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Bedlo Context triple: [Dr. Scarabus, conflictWith, Dr. Bedlo]
-
A.
Dr. Adolphus Bedlo
chosen
Dr. Adolphus Bedlo is a bumbling, cowardly sorcerer portrayed by Peter Lorre in the 1963 horror-comedy film "The Raven."
-
B.
Dr. Schratt
Dr. Schratt is a fictional doctor who appears as a character in the science fiction novel "Donovan's Brain."
-
C.
Dr. Scarabus
Dr. Scarabus is the powerful and sinister sorcerer antagonist in the 1963 horror-comedy film "The Raven."
-
D.
Dr. Igor
Dr. Igor is a psychiatrist in Paulo Coelho’s novel "Veronika Decides to Die," known for his controversial experimental approach to treating patients in a mental institution.
-
E.
Dr. Animo
Dr. Animo is a recurring villain in the Ben 10 franchise, known as a mad scientist who uses genetic experiments and mutant creatures to battle Ben Tennyson.
- 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_69d2cbe40d088190838819eac97c61e4 |
completed | April 5, 2026, 8:53 p.m. |
Created at: March 30, 2026, 9:01 p.m.