Triple
T30390467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angus Tuck |
E773066
|
entity |
| Predicate | explainsToWinnie |
P21344
|
FINISHED |
| Object | consequences of immortality |
—
|
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: consequences of immortality | Statement: [Angus Tuck, explainsToWinnie, consequences of immortality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explainsToWinnie Context triple: [Angus Tuck, explainsToWinnie, consequences of immortality]
-
A.
representsToLittlePrince
Indicates that one entity serves as a representation, symbol, or stand-in of something specifically for the Little Prince.
-
B.
providesExpositionAbout
Indicates that one entity offers explanatory or background information clarifying or elaborating on another entity.
-
C.
tellsStoriesIn
Indicates that one entity narrates or recounts stories within or to the context of another entity (such as a place, group, or medium).
-
D.
tellsParableTo
Indicates that one entity relates or narrates a parable to another entity.
-
E.
teachesAbout
chosen
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
- 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_69f2248ef0a48190aa54d4d8ac3e5758 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6859bbd7c81909084682a99f2b9be |
completed | May 2, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:02 p.m.