Triple

T14491248
Position Surface form Disambiguated ID Type / Status
Subject Mularaja E359366 entity
Predicate spouse P13 FINISHED
Object Liladevi
Liladevi was a queen consort of the Chaulukya (Solanki) dynasty in medieval Gujarat, married to King Mularaja I.
E1103620 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: Liladevi | Statement: [Mularaja, spouse, Liladevi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liladevi
Context triple: [Mularaja, spouse, Liladevi]
  • A. Bilasa Devi
    Bilasa Devi is a legendary fisherwoman revered in the Bilaspur region of India, regarded as the folk heroine after whom the city is named.
  • B. Lalitha Devi
    Lalitha Devi is the royal figure after whom the historic Lalitha Mahal Palace in Mysore, India, was named.
  • C. Sachi Devi
    Sachi Devi is revered in Gaudiya Vaishnavism as the pious and devoted mother of the saint and religious reformer Chaitanya Mahaprabhu.
  • D. Jai Devi
    Jai Devi is the mother of Mata Sahib Devan, who is venerated in Sikh tradition as the spiritual mother of the Khalsa.
  • E. Chhaya Devi
    Chhaya Devi was an Indian actress known for her work in Bengali cinema, particularly in classic films of the mid-20th century.
  • 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: Liladevi
Triple: [Mularaja, spouse, Liladevi]
Generated description
Liladevi was a queen consort of the Chaulukya (Solanki) dynasty in medieval Gujarat, married to King Mularaja I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liladevi
Target entity description: Liladevi was a queen consort of the Chaulukya (Solanki) dynasty in medieval Gujarat, married to King Mularaja I.
  • A. Bilasa Devi
    Bilasa Devi is a legendary fisherwoman revered in the Bilaspur region of India, regarded as the folk heroine after whom the city is named.
  • B. Lalitha Devi
    Lalitha Devi is the royal figure after whom the historic Lalitha Mahal Palace in Mysore, India, was named.
  • C. Sachi Devi
    Sachi Devi is revered in Gaudiya Vaishnavism as the pious and devoted mother of the saint and religious reformer Chaitanya Mahaprabhu.
  • D. Jai Devi
    Jai Devi is the mother of Mata Sahib Devan, who is venerated in Sikh tradition as the spiritual mother of the Khalsa.
  • E. Chhaya Devi
    Chhaya Devi was an Indian actress known for her work in Bengali cinema, particularly in classic films of the mid-20th century.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930d820481908b9813014dd02540 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9334708190baa2f8094df3c09e completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6f80e3a081908c43915275898852 completed May 8, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd7016a3c48190a1ea2fefeea92c60 completed May 8, 2026, 5:09 a.m.
Created at: April 10, 2026, 1:20 a.m.