Triple

T9215018
Position Surface form Disambiguated ID Type / Status
Subject Ratna Mohini E221219 entity
Predicate givenName P17 FINISHED
Object Ratna
Ratna is an Indonesian-born dancer and model who became known internationally as the second wife of French photographer Henri Cartier-Bresson.
 E785562 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: Ratna | Statement: [Ratna Mohini, givenName, Ratna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ratna
Context triple: [Ratna Mohini, givenName, Ratna]
  • A. Rani
    Rani is an honorific title used in South Asia for a queen or a female royal consort.
  • B. Rajasbai
    Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
  • C. Ratne
    Ratne is a small town in northwestern Ukraine known for its historical roots in the Volyn region near the Belarusian border.
  • D. Chitra
    Chitra is one of the eight principal gopi companions (Ashta Sakhis) of Radha and Krishna in Hindu Vaishnavite tradition.
  • E. 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.
  • 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: Ratna
Triple: [Ratna Mohini, givenName, Ratna]
Generated description
Ratna is an Indonesian-born dancer and model who became known internationally as the second wife of French photographer Henri Cartier-Bresson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ratna
Target entity description: Ratna is an Indonesian-born dancer and model who became known internationally as the second wife of French photographer Henri Cartier-Bresson.
  • A. Rani
    Rani is an honorific title used in South Asia for a queen or a female royal consort.
  • B. Rajasbai
    Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
  • C. Ratne
    Ratne is a small town in northwestern Ukraine known for its historical roots in the Volyn region near the Belarusian border.
  • D. Chitra
    Chitra is one of the eight principal gopi companions (Ashta Sakhis) of Radha and Krishna in Hindu Vaishnavite tradition.
  • E. 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.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0830a8819096a186ed2e976cba completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0661c4c2c8190bc5be991a3a75f2b completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d0678b89ac8190b807e1c3b457a503 completed April 4, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69d0688d4c388190bb024b03cc86d08f completed April 4, 2026, 1:25 a.m.
Created at: March 30, 2026, 7:27 p.m.