Triple

T21265509
Position Surface form Disambiguated ID Type / Status
Subject Govind Nihalani E524113 entity
Predicate notableWork P4 FINISHED
Object Tamas
Tamas is a critically acclaimed Indian television film and novel adaptation by Govind Nihalani that portrays the communal violence and human tragedy surrounding the Partition of India.
 E1476421 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: Tamas | Statement: [Govind Nihalani, notableWork, Tamas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tamas
Context triple: [Govind Nihalani, notableWork, Tamas]
  • A. Tamás
    Tamás is a Hungarian masculine given name commonly used in Hungary and among Hungarian-speaking communities.
  • B. Janos
    Janos is the family name of Jesse Ventura, the American professional wrestler, actor, and former governor of Minnesota.
  • C. Vilmos
    Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
  • D. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • E. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • 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: Tamas
Triple: [Govind Nihalani, notableWork, Tamas]
Generated description
Tamas is a critically acclaimed Indian television film and novel adaptation by Govind Nihalani that portrays the communal violence and human tragedy surrounding the Partition of India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tamas
Target entity description: Tamas is a critically acclaimed Indian television film and novel adaptation by Govind Nihalani that portrays the communal violence and human tragedy surrounding the Partition of India.
  • A. Tamás
    Tamás is a Hungarian masculine given name commonly used in Hungary and among Hungarian-speaking communities.
  • B. Janos
    Janos is the family name of Jesse Ventura, the American professional wrestler, actor, and former governor of Minnesota.
  • C. Vilmos
    Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
  • D. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • E. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735ebe09081909f74301e91b4d3d7 completed April 21, 2026, 8:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0997f9ae4c81909793e59d89082abb completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998d6b37881908a1b09afc1f67746 completed May 17, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0999884e0481909b7ea54cd7ef87b5 completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4 p.m.