Triple

T8738906
Position Surface form Disambiguated ID Type / Status
Subject K. Balachander E207453 entity
Predicate mentorOf P7251 FINISHED
Object Nassar
Nassar is a prominent Indian actor, director, and producer known for his versatile performances across Tamil and other South Indian film industries.
 E754843 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: Nassar | Statement: [K. Balachander, mentorOf, Nassar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nassar
Context triple: [K. Balachander, mentorOf, Nassar]
  • A. Nassar
    Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
  • B. Nagi Hassan
    Nagi Hassan is the primary antagonist and terrorist leader in the 1996 action-thriller film "Executive Decision."
  • C. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • D. Kamal
    Kamal is a central figure in Naguib Mahfouz’s novel "Sugar Street," representing the introspective, politically aware younger generation within the multi-generational Cairo family saga.
  • E. Kamal
    Kamal is a given name shared by various notable individuals across politics, arts, and other fields in the Arabic-speaking world and beyond.
  • 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: Nassar
Triple: [K. Balachander, mentorOf, Nassar]
Generated description
Nassar is a prominent Indian actor, director, and producer known for his versatile performances across Tamil and other South Indian film industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nassar
Target entity description: Nassar is a prominent Indian actor, director, and producer known for his versatile performances across Tamil and other South Indian film industries.
  • A. Nassar
    Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
  • B. Nagi Hassan
    Nagi Hassan is the primary antagonist and terrorist leader in the 1996 action-thriller film "Executive Decision."
  • C. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • D. Kamal
    Kamal is a central figure in Naguib Mahfouz’s novel "Sugar Street," representing the introspective, politically aware younger generation within the multi-generational Cairo family saga.
  • E. Kamal
    Kamal is a given name shared by various notable individuals across politics, arts, and other fields in the Arabic-speaking world and beyond.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d470c8c81909ead395ef704c6ba completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42d5dd508190854fbbc2541aa819 completed April 3, 2026, 4:32 a.m.
NEDg Description generation batch_69cf440051bc8190ad9d649150187932 completed April 3, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69cf4473ee0081908ed22eb0d855d7dd completed April 3, 2026, 4:39 a.m.
Created at: March 30, 2026, 6:38 p.m.