Triple
T34965702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hide and Seek |
E1008388
|
entity |
| Predicate | exploresClassDifferences |
P32726
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hide and Seek, exploresClassDifferences, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresClassDifferences Context triple: [Hide and Seek, exploresClassDifferences, yes]
-
A.
exploresContrastBetween
chosen
Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
-
B.
exploresClass
Indicates that one entity actively investigates, studies, or examines a particular class or category of things.
-
C.
comparisonClass
Indicates that something is being evaluated or interpreted relative to a specified reference group or standard for comparison.
-
D.
adaptationDifference
Indicates a difference or change in how two entities adapt or have adapted relative to each other.
-
E.
differenceDescription
Indicates a textual explanation that characterizes how two entities differ from each other.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4 p.m.