Triple
T13950253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhav Rao II |
E335501
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Gangabai
Gangabai was the mother of Madhav Rao II, a prominent Maratha Peshwa of the late 18th century.
|
E1071491
|
NE FINISHED |
How this triple was built (4 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: Gangabai | Statement: [Madhav Rao II, mother, Gangabai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangabai Context triple: [Madhav Rao II, mother, Gangabai]
-
A.
Benipatti
Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
-
B.
Viratnagar
Viratnagar is a historic town in Rajasthan, India, known for its ancient Buddhist sites, rock-cut caves, and archaeological remains dating back to the Mauryan period.
-
C.
Bhagyanagar
Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
-
D.
Radhanagar
Radhanagar is a village in West Bengal, India, best known as the birthplace of the social reformer Raja Ram Mohan Roy.
-
E.
Nandigrama
Nandigrama is the kingdom or region traditionally associated with and ruled by the legendary Indian emperor Bharata in ancient Hindu literature.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gangabai Triple: [Madhav Rao II, mother, Gangabai]
Generated description
Gangabai was the mother of Madhav Rao II, a prominent Maratha Peshwa of the late 18th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gangabai Target entity description: Gangabai was the mother of Madhav Rao II, a prominent Maratha Peshwa of the late 18th century.
-
A.
Benipatti
Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
-
B.
Viratnagar
Viratnagar is a historic town in Rajasthan, India, known for its ancient Buddhist sites, rock-cut caves, and archaeological remains dating back to the Mauryan period.
-
C.
Bhagyanagar
Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
-
D.
Radhanagar
Radhanagar is a village in West Bengal, India, best known as the birthplace of the social reformer Raja Ram Mohan Roy.
-
E.
Nandigrama
Nandigrama is the kingdom or region traditionally associated with and ruled by the legendary Indian emperor Bharata in ancient Hindu literature.
- F. None of above. chosen
Provenance (5 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e131c608190b4ffdbada24a3208 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1cca84881909c7733bbc2609eea |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba6af4ed881908cb4b79cfa40977c |
completed | May 6, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba71a91fc8190b24185994673b33b |
completed | May 6, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.