Triple
T35453243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Bowser |
E1024695
|
entity |
| Predicate | relationToBowser |
P206991
|
FINISHED |
| Object | younger version of Bowser |
—
|
LITERAL 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: younger version of Bowser | Statement: [Baby Bowser, relationToBowser, younger version of Bowser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToBowser Context triple: [Baby Bowser, relationToBowser, younger version of Bowser]
-
A.
relationToBabo
Indicates a relationship or connection that an entity has to the person or entity referred to as "Babo."
-
B.
relationshipToJabba
Indicates the specific personal or social connection an entity has to Jabba, such as familial, hierarchical, or associative ties.
-
C.
relationshipToMickey
Indicates the specific familial, social, or other personal connection that one entity has to Mickey.
-
D.
relationToStephenI
Indicates a familial or social relationship that an entity has specifically with Stephen I.
-
E.
relationToVonMaur
Indicates a specified type of relationship or association that an entity has with Von Maur.
- F. None of above. chosen
Provenance (4 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:04 p.m.