Triple
T26070663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond the Bear |
E657533
|
entity |
| Predicate | isFictionalOffspringOf |
P90669
|
FINISHED |
| Object | Tim the Bear |
—
|
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: Tim the Bear | Statement: [Raymond the Bear, isFictionalOffspringOf, Tim the Bear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFictionalOffspringOf Context triple: [Raymond the Bear, isFictionalOffspringOf, Tim the Bear]
-
A.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
-
B.
hasFictionalFather
chosen
Indicates that one entity is the fictional father of another entity.
-
C.
isFictionallyCreatedBy
Indicates that an entity is a fictional creation authored, invented, or brought into existence within a narrative by another entity.
-
D.
hasFictionalFamily
Indicates that an entity is associated with a family that exists only within a fictional or imaginary context.
-
E.
hasFictionalMother
Indicates that one entity is the fictional mother of another entity within a narrative or fictional 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606ca69b08190977693fd1f8e8ae4 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:28 p.m.