Triple
T5924438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarissa Luard |
E131770
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Zafar Rushdie |
E30513
|
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: Zafar Rushdie | Statement: [Clarissa Luard, hasChild, Zafar Rushdie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zafar Rushdie Context triple: [Clarissa Luard, hasChild, Zafar Rushdie]
-
A.
Zafar Rushdie
chosen
Zafar Rushdie is a British public relations executive and the son of novelist Salman Rushdie.
-
B.
Salman Rushdie
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."
-
C.
Milan Rushdie
Milan Rushdie is one of the sons of renowned British-Indian novelist Salman Rushdie.
-
D.
Tariq Ali
Tariq Ali is a British-Pakistani writer, filmmaker, and political activist known for his leftist commentary, historical and political books, and prominent role in 1960s and 1970s radical politics.
-
E.
Tarun Tejpal
Tarun Tejpal is an Indian journalist, publisher, and novelist best known as the founder and former editor-in-chief of the investigative news magazine Tehelka.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03851189c819094524e8b5080545e |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3a9b6348190909e14e095e2eea0 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4 p.m.