Triple

T1802812
Position Surface form Disambiguated ID Type / Status
Subject Tamil cinema E39755 entity
Predicate hasPoliticalLeaderFromIndustry P32532 FINISHED
Object Seeman
Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
 E202641 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: Seeman | Statement: [Tamil cinema, hasPoliticalLeaderFromIndustry, Seeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seeman
Context triple: [Tamil cinema, hasPoliticalLeaderFromIndustry, Seeman]
  • A. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • B. Guna
    Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
  • C. Dara
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • D. Veeragase
    Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
  • E. Naman
    Naman is an endangered Oceanic language spoken by a small community in Vanuatu.
  • 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: Seeman
Triple: [Tamil cinema, hasPoliticalLeaderFromIndustry, Seeman]
Generated description
Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seeman
Target entity description: Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
  • A. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • B. Guna
    Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
  • C. Dara
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • D. Veeragase
    Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
  • E. Naman
    Naman is an endangered Oceanic language spoken by a small community in Vanuatu.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abaffee0f88190aa7a42ef4a4e2bd2 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5dd01488190a96e0a8f3a77d524 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb9efe7e88190b3e2a529ec23be7b completed March 8, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_69adbadfebbc8190ae09cd92c1fe77bc completed March 8, 2026, 6:07 p.m.
Created at: March 4, 2026, 7:32 p.m.