Triple
T1392118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salman Rushdie |
E29982
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Ahmed 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: Ahmed Salman Rushdie | Statement: [Salman Rushdie, birthName, Ahmed Salman Rushdie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahmed Salman Rushdie Context triple: [Salman Rushdie, birthName, Ahmed Salman Rushdie]
-
A.
Zafar Rushdie
Zafar Rushdie is a British public relations executive and the son of novelist Salman Rushdie.
-
B.
Milan Rushdie
Milan Rushdie is one of the sons of renowned British-Indian novelist Salman Rushdie.
-
C.
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."
-
D.
Bahauddin Toukan
Bahauddin Toukan was a Jordanian diplomat and statesman known primarily as the father of Queen Alia al-Hussein of Jordan.
-
E.
Ali Hakim
Ali Hakim is a comic Persian peddler and charming rogue suitor in the classic Rodgers and Hammerstein musical "Oklahoma!".
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c360a7f08190ab7e903764b06fdf |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0153f1648190abd63beadfb6709b |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:59 p.m.