Triple
T15964484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short Round |
E387148
|
entity |
| Predicate | helpsDefeat |
P44055
|
FINISHED |
| Object | Mola Ram |
E387149
|
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: Mola Ram | Statement: [Short Round, helpsDefeat, Mola Ram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mola Ram Context triple: [Short Round, helpsDefeat, Mola Ram]
-
A.
Mola Ram
chosen
Mola Ram is the fanatical Thuggee high priest and main antagonist in the film "Indiana Jones and the Temple of Doom," known for his dark rituals and heart-extraction sacrifices.
-
B.
Rajmohan
Rajmohan is an Indian historian, biographer, and politician best known for his works on the life and legacy of Mahatma Gandhi and other leaders of modern India.
-
C.
Nandlal
Nandlal is an Indian given name, notably borne by Nandlal Nehru, an early 20th-century lawyer and member of the prominent Nehru family.
-
D.
Rana Mokal Singh
Rana Mokal Singh was a 15th-century ruler of Mewar in present-day Rajasthan, India, and the father of the renowned Rajput king Rana Kumbha.
-
E.
Jagat Narayan
Jagat Narayan was an Indian educationist and public figure who served as a member of the British-era Hunter Commission on education reforms.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572475948190af0e3b12de0f6cea |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe84f4888190b3fdb5f32763f78d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.