Triple

T17000998
Position Surface form Disambiguated ID Type / Status
Subject Rakeysh Omprakash Mehra E412441 entity
Predicate familyName P18 FINISHED
Object Mehra
Mehra is an Indian surname commonly associated with North Indian communities and notably borne by figures such as filmmaker Rakeysh Omprakash Mehra.
 E1245290 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: Mehra | Statement: [Rakeysh Omprakash Mehra, familyName, Mehra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mehra
Context triple: [Rakeysh Omprakash Mehra, familyName, Mehra]
  • A. Nabha
    Nabha is a historic town in the Indian state of Punjab, known for its former princely state status and cultural heritage.
  • B. Mehri
    Mehri is a Modern South Arabian language spoken primarily by the Mehri people in eastern Yemen and western Oman, known for preserving many archaic Semitic features.
  • C. Khanna
    Khanna is a prominent town in the Indian state of Punjab, known especially as a major grain market and commercial hub in the region.
  • D. Bairat
    Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
  • E. Udaipurwati
    Udaipurwati is a town and tehsil in the Jhunjhunu district of Rajasthan, India, known for its historical temples and traditional Rajasthani culture.
  • 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: Mehra
Triple: [Rakeysh Omprakash Mehra, familyName, Mehra]
Generated description
Mehra is an Indian surname commonly associated with North Indian communities and notably borne by figures such as filmmaker Rakeysh Omprakash Mehra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mehra
Target entity description: Mehra is an Indian surname commonly associated with North Indian communities and notably borne by figures such as filmmaker Rakeysh Omprakash Mehra.
  • A. Nabha
    Nabha is a historic town in the Indian state of Punjab, known for its former princely state status and cultural heritage.
  • B. Mehri
    Mehri is a Modern South Arabian language spoken primarily by the Mehri people in eastern Yemen and western Oman, known for preserving many archaic Semitic features.
  • C. Khanna
    Khanna is a prominent town in the Indian state of Punjab, known especially as a major grain market and commercial hub in the region.
  • D. Bairat
    Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
  • E. Udaipurwati
    Udaipurwati is a town and tehsil in the Jhunjhunu district of Rajasthan, India, known for its historical temples and traditional Rajasthani culture.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37d9f9081909aef52426d88940d completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1e2f708190999f6fab16fdabe8 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d68c8481909111bfab22882bb2 completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0118ba68408190b242154c40461f21 completed May 10, 2026, 11:46 p.m.
Created at: April 10, 2026, 5:32 a.m.