Triple
T36554633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumatran Rat-Monkey |
E901667
|
entity |
| Predicate | inStoryObtainedBy |
P185846
|
FINISHED |
| Object | zookeepers and explorers |
—
|
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: zookeepers and explorers | Statement: [Sumatran Rat-Monkey, inStoryObtainedBy, zookeepers and explorers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inStoryObtainedBy Context triple: [Sumatran Rat-Monkey, inStoryObtainedBy, zookeepers and explorers]
-
A.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
B.
shortStoryLaterCollectedIn
Indicates that a short story was originally published independently and was subsequently included in a later collected volume or anthology.
-
C.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
-
D.
appearsInShortStoryBy
Indicates that one entity is a character, element, or subject that appears within a short story authored by another entity.
-
E.
hasAwardInStory
Indicates that an entity is depicted within a narrative or story as having received a particular award.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.