Triple
T35014825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemonhope |
E1010024
|
entity |
| Predicate | roleInLemonKingdom |
P203096
|
FINISHED |
| Object | reluctant savior |
—
|
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: reluctant savior | Statement: [Lemonhope, roleInLemonKingdom, reluctant savior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInLemonKingdom Context triple: [Lemonhope, roleInLemonKingdom, reluctant savior]
-
A.
roleInCandyKingdom
Indicates that an entity holds a specific role, position, or function within the organizational or social structure of the Candy Kingdom.
-
B.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
C.
roleAtLuckyChap
Indicates that an entity holds or held a specific role or position at the organization LuckyChap.
-
D.
roleInKingdomHearts
Indicates the specific narrative or functional role an entity plays within the Kingdom Hearts series.
-
E.
roleInDonkeyKongCountry
Indicates the specific role or function an entity has within the context of Donkey Kong Country.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a011ee3507081908b42de4278ae0b83 |
completed | May 11, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_6a011e874420819091cac3f08e8aa3f9 |
completed | May 11, 2026, 12:10 a.m. |
| PDg | Predicate description generation | batch_6a011ee2a6408190b3b2763d01bac623 |
completed | May 11, 2026, 12:12 a.m. |
Created at: May 3, 2026, 4:01 p.m.