Triple
T23424548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raban |
E560755
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Jonathan Raban |
—
|
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: Jonathan Raban | Statement: [Raban, usedBy, Jonathan Raban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Raban Context triple: [Raban, usedBy, Jonathan Raban]
-
A.
Jonathan Raban
chosen
Jonathan Raban was a British travel writer, novelist, and critic renowned for his reflective, genre-blending works on place, identity, and journey.
-
B.
Bruce Chatwin
Bruce Chatwin was a British travel writer and novelist renowned for his innovative, genre-blurring works such as "In Patagonia" and "The Songlines."
-
C.
Arthur Roberts
Arthur Roberts was a film editor known for his work on mid-20th-century American genre movies, including the science fiction film "Invaders from Mars" (1953).
-
D.
Harold Muir
Harold Muir is an individual notable enough to be specifically cited as a bearer of the surname Muir.
-
E.
Laurie Lee
Laurie Lee was an English poet, memoirist, and screenwriter best known for his lyrical autobiographical work "Cider with Rosie."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54838fc8190a3205ca72daaf107 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:47 p.m.