Triple
T711416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Arabian Nights |
E14213
|
entity |
| Predicate | hasInfluencedAuthor |
P1994
|
FINISHED |
| Object | Salman Rushdie |
E4474
|
NE 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: Salman Rushdie | Statement: [The Arabian Nights, hasInfluencedAuthor, Salman Rushdie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salman Rushdie Context triple: [The Arabian Nights, hasInfluencedAuthor, Salman Rushdie]
-
A.
Salman Rushdie
chosen
Salman Rushdie is a British-Indian novelist and essayist renowned for his magical realist works, particularly "Midnight's Children" and the controversial "The Satanic Verses."
-
B.
Zafar Rushdie
Zafar Rushdie is a British public relations executive and the son of novelist Salman Rushdie.
-
C.
Milan Rushdie
Milan Rushdie is one of the sons of renowned British-Indian novelist Salman Rushdie.
-
D.
Arundhati Roy
Arundhati Roy is an Indian author and activist best known for her Booker Prize–winning novel "The God of Small Things" and her outspoken political commentary on social and environmental justice.
-
E.
Michael Ondaatje
Michael Ondaatje is a Sri Lankan-born Canadian novelist and poet best known for his Booker Prize–winning novel "The English Patient."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aa9a1dcc81908bdb7b960765fde5 |
completed | March 1, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcb3452c8190a150b4a182807813 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.