Triple
T3321412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Passage to India |
E69802
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | I.S. Johar |
E130011
|
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: I.S. Johar | Statement: [A Passage to India, starring, I.S. Johar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I.S. Johar Context triple: [A Passage to India, starring, I.S. Johar]
-
A.
I. S. Johar
chosen
I. S. Johar was an Indian actor, writer, and filmmaker known for his character roles in both Hindi cinema and international films, including the epic historical drama "Lawrence of Arabia."
-
B.
Salil Parekh
Salil Parekh is an Indian business executive who serves as the CEO and Managing Director of Infosys, one of the world’s leading IT services and consulting companies.
-
C.
Bimal Parekh
Bimal Parekh is an Indian businessman and co-owner of the Indian Super League football club Mumbai City FC.
-
D.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
-
E.
Dilip Hiro
Dilip Hiro is a British-based Indian author, journalist, and commentator known for his extensive writings on Middle Eastern politics, South Asia, and global geopolitics.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13b85208190b13aba355d5dafcf |
completed | March 8, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a7954248190b0c7b5d6ab3c6687 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:11 p.m.