Triple
T38015695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Brown at Oxford |
E948491
|
entity |
| Predicate | protagonistOriginatesIn |
P28569
|
FINISHED |
| Object | Tom Brown's Schooldays |
—
|
NE NERFINISHED |
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: Tom Brown's Schooldays | Statement: [Tom Brown at Oxford, protagonistOriginatesIn, Tom Brown's Schooldays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistOriginatesIn Context triple: [Tom Brown at Oxford, protagonistOriginatesIn, Tom Brown's Schooldays]
-
A.
protagonistOrigin
chosen
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
-
B.
protagonistNationality
Indicates the country or national identity to which the protagonist of a work is associated or belongs.
-
C.
protagonistOriginTime
Indicates the point in time at which the protagonist first comes into existence or begins their story.
-
D.
protagonistHomeworld
Indicates the homeworld or place of origin associated with a story’s main protagonist.
-
E.
protagonistEthnicity
Indicates the ethnic background or cultural heritage associated with a work’s main character.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:20 p.m.