Triple
T19233092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Barber |
E480918
|
entity |
| Predicate | writingInspiredBy |
P63928
|
FINISHED |
| Object | experiences during World War II |
—
|
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: experiences during World War II | Statement: [Noel Barber, writingInspiredBy, experiences during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingInspiredBy Context triple: [Noel Barber, writingInspiredBy, experiences during World War II]
-
A.
inspiredAuthor
Indicates that one entity served as a source of creative or intellectual inspiration for an author entity.
-
B.
inspiredDocument
Indicates that one entity (often a work, idea, or person) served as the creative or conceptual inspiration for the creation or content of another document.
-
C.
hasInspired
chosen
Indicates that one entity has served as a source of motivation, creativity, or influence leading to ideas, actions, or works in another entity.
-
D.
wrote
Indicates that an entity is the author or creator of a written work involving another entity.
-
E.
writingPartner
Indicates a collaborative relationship in which two or more entities work together as co-authors or co-writers on written material.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9fa7348190947129273d19c9a7 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:25 p.m.