Triple
T2082678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remy’s Ratatouille Adventure |
E45277
|
entity |
| Predicate | simulatesPerspective |
P9787
|
FINISHED |
| Object | rat-sized guest |
—
|
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: rat-sized guest | Statement: [Remy’s Ratatouille Adventure, simulatesPerspective, rat-sized guest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: simulatesPerspective Context triple: [Remy’s Ratatouille Adventure, simulatesPerspective, rat-sized guest]
-
A.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
B.
viewOnReality
Indicates a subject’s overarching perspective, interpretation, or conceptual stance regarding the nature of reality.
-
C.
parallax
Indicates the apparent shift in an object’s position relative to a background when observed from two different viewpoints or at two different times.
-
D.
emulates
Indicates that one entity imitates or reproduces the behavior, function, or characteristics of another.
-
E.
viewpointFrom
chosen
Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba5097ac8190a723a8af2982238c |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.