Triple
T37923757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neville |
E946034
|
entity |
| Predicate | isContemporaryOfFictional |
P125744
|
FINISHED |
| Object | early 20th century England |
—
|
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: early 20th century England | Statement: [Neville, isContemporaryOfFictional, early 20th century England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isContemporaryOfFictional Context triple: [Neville, isContemporaryOfFictional, early 20th century England]
-
A.
isContemporaryOfFictionalCharacter
chosen
Indicates that one entity exists or occurs in the same fictional time period as another fictional character.
-
B.
existsInFictionalTimePeriod
Indicates that an entity is situated within, or associated with, a time period that is fictional rather than part of real-world history.
-
C.
isForFictionalWork
Indicates that something is intended to be used in, associated with, or specifically created for a fictional work.
-
D.
fictionalAge
Indicates the age attributed to an entity within a fictional or narrative context, rather than its real-world age.
-
E.
isFictionalWorkConcept
Indicates that something represents the concept or idea of a fictional work, rather than a specific concrete instance of that work.
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 3, 2026, 4:20 p.m.