Triple
T16379473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class (TV series) |
E397761
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Ram Singh |
E83676
|
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: Ram Singh | Statement: [Class (TV series), hasMainCharacter, Ram Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ram Singh Context triple: [Class (TV series), hasMainCharacter, Ram Singh]
-
A.
Ram Singh
Ram Singh was a 19th-century Sikh religious reformer and founder of the Namdhari (Kuka) movement, known for advocating social reforms and resistance to British colonial rule.
-
B.
Ram Singh
chosen
Ram Singh is a fictional character who serves as the central figure in the narrative of the work titled "Class."
-
C.
Ram Singh
Ram Singh is a character known primarily as the romantic interest of April MacLean in the British TV series "My Mad Fat Diary."
-
D.
Man Singh
Man Singh was an Indian noble and close associate of Nana Sahib who played a role in the events of the 1857 Indian Rebellion.
-
E.
Puran Singh
Puran Singh was a prominent Punjabi writer, poet, and thinker known for his influential contributions to modern Punjabi literature and spiritual-philosophical essays.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f41703c81908fb040a9107045ae |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:08 a.m.