Triple

T8940775
Position Surface form Disambiguated ID Type / Status
Subject Paruthiveeran E212893 entity
Predicate editedBy P1954 FINISHED
Object Raja Mohammad
Raja Mohammad is an Indian film editor known for his work on acclaimed Tamil-language movies.
E768523 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: Raja Mohammad | Statement: [Paruthiveeran, editedBy, Raja Mohammad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raja Mohammad
Context triple: [Paruthiveeran, editedBy, Raja Mohammad]
  • A. Nasiruddin Nasrat Shah
    Nasiruddin Nasrat Shah was a 16th-century Sultan of Bengal known for consolidating the Hussain Shahi dynasty’s power and overseeing a period of relative stability and cultural flourishing.
  • B. Abdullah Ma'ayat Shah
    Abdullah Ma'ayat Shah was a Sultan of Johor in the Malay Peninsula during the 16th century, known for his role in the early history of the Johor Sultanate following the fall of Malacca.
  • C. Sultan Ahmad Khan
    Sultan Ahmad Khan was a Central Asian Timurid-era prince from the royal lineage associated with the Chagatai Khanate.
  • D. Alam Shah
    Alam Shah was the last ruler of the Sayyid dynasty who governed the Delhi Sultanate before its power passed to the Lodi dynasty.
  • E. Raja Zulqarnain Khan
    Raja Zulqarnain Khan is a Pakistani politician who served as the President of Azad Jammu and Kashmir.
  • 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: Raja Mohammad
Triple: [Paruthiveeran, editedBy, Raja Mohammad]
Generated description
Raja Mohammad is an Indian film editor known for his work on acclaimed Tamil-language movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raja Mohammad
Target entity description: Raja Mohammad is an Indian film editor known for his work on acclaimed Tamil-language movies.
  • A. Nasiruddin Nasrat Shah
    Nasiruddin Nasrat Shah was a 16th-century Sultan of Bengal known for consolidating the Hussain Shahi dynasty’s power and overseeing a period of relative stability and cultural flourishing.
  • B. Abdullah Ma'ayat Shah
    Abdullah Ma'ayat Shah was a Sultan of Johor in the Malay Peninsula during the 16th century, known for his role in the early history of the Johor Sultanate following the fall of Malacca.
  • C. Sultan Ahmad Khan
    Sultan Ahmad Khan was a Central Asian Timurid-era prince from the royal lineage associated with the Chagatai Khanate.
  • D. Alam Shah
    Alam Shah was the last ruler of the Sayyid dynasty who governed the Delhi Sultanate before its power passed to the Lodi dynasty.
  • E. Raja Zulqarnain Khan
    Raja Zulqarnain Khan is a Pakistani politician who served as the President of Azad Jammu and Kashmir.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b8b37c8190bce6e049de8cf732 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1efdea881908b2c264d1c39c6ec completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc2d295c48190952486e6f44cd74f completed April 3, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69cfc722921881908978147e4cc6875c completed April 3, 2026, 1:56 p.m.
Created at: March 30, 2026, 6:58 p.m.