Triple
T36061015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob and Doug McKenzie |
E1043083
|
entity |
| Predicate | hasFictionalBrother |
P188780
|
FINISHED |
| Object | Bob McKenzie |
—
|
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: Bob McKenzie | Statement: [Bob and Doug McKenzie, hasFictionalBrother, Bob McKenzie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalBrother Context triple: [Bob and Doug McKenzie, hasFictionalBrother, Bob McKenzie]
-
A.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
-
B.
isBrotherOfProtagonist
Indicates that one person is the male sibling of the story’s main character.
-
C.
fictionalBrother
chosen
Indicates that one entity is the brother of another within a fictional or imagined context.
-
D.
possibleBrother
Indicates a relationship where one entity may be the brother of another, but this has not been confirmed as certain.
-
E.
isFictionalTwinOf
Indicates that one entity is the imagined or fictional twin counterpart of another entity, typically within a narrative or creative context.
- F. None of above.
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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fff86e544c81908063f61b876c9d78 |
completed | May 10, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fff7e7cb688190977eeca41aad25b9 |
completed | May 10, 2026, 3:13 a.m. |
Created at: May 3, 2026, 4:08 p.m.