Triple
T932899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devi |
E20132
|
entity |
| Predicate | hasAspect |
P642
|
FINISHED |
| Object |
Lalita
Lalita is a revered aspect of the Hindu goddess Devi, celebrated as a beautiful, benevolent, and playful form of the Divine Mother often associated with Sri Vidya worship.
|
E122802
|
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: Lalita | Statement: [Devi, hasAspect, Lalita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lalita Context triple: [Devi, hasAspect, Lalita]
-
A.
Chitrangada
Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
-
B.
Rukmini
Rukmini is a principal queen of the Hindu god Krishna, revered as an incarnation of the goddess Lakshmi and celebrated for her devotion and role in Krishna’s life.
-
C.
Pranhita
Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
-
D.
Lal Bai
Lal Bai was the mother of Bahadur Shah II, the last Mughal emperor of India.
-
E.
Sita
Sita is a revered heroine in Hindu mythology, celebrated as the devoted wife of Lord Rama and an enduring symbol of virtue, loyalty, and courage.
- 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: Lalita Triple: [Devi, hasAspect, Lalita]
Generated description
Lalita is a revered aspect of the Hindu goddess Devi, celebrated as a beautiful, benevolent, and playful form of the Divine Mother often associated with Sri Vidya worship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lalita Target entity description: Lalita is a revered aspect of the Hindu goddess Devi, celebrated as a beautiful, benevolent, and playful form of the Divine Mother often associated with Sri Vidya worship.
-
A.
Chitrangada
Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
-
B.
Rukmini
Rukmini is a principal queen of the Hindu god Krishna, revered as an incarnation of the goddess Lakshmi and celebrated for her devotion and role in Krishna’s life.
-
C.
Pranhita
Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
-
D.
Lal Bai
Lal Bai was the mother of Bahadur Shah II, the last Mughal emperor of India.
-
E.
Sita
Sita is a revered heroine in Hindu mythology, celebrated as the devoted wife of Lord Rama and an enduring symbol of virtue, loyalty, and courage.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b34c457c819085cbfa0c798cb4c6 |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42851b8881908b2625e3cb34cb6c |
completed | March 7, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ac42f4d51c81908a39c05213da4633 |
completed | March 7, 2026, 3:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac436720a88190b88ffd74956f5bf5 |
completed | March 7, 2026, 3:25 p.m. |
Created at: March 1, 2026, 7:40 p.m.