Triple

T20143103
Position Surface form Disambiguated ID Type / Status
Subject Peresean war dance E491224 entity
Predicate hasAlternativeName P39 FINISHED
Object Presean
Presean is a traditional Sasak martial arts dance from Lombok, Indonesia, in which fighters duel with rattan sticks and shields as a form of cultural performance and ritual.
 E1412576 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: Presean | Statement: [Peresean war dance, hasAlternativeName, Presean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Presean
Context triple: [Peresean war dance, hasAlternativeName, Presean]
  • A. Seresin
    Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
  • B. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • C. Prilidian
    Prilidian was an early Christian disciple associated with Babylas of Antioch, remembered within the tradition of the Antiochene church.
  • D. Cesariny
    Cesariny is the surname of Mário Cesariny de Vasconcelos Tavares, a prominent Portuguese surrealist poet and painter.
  • E. Pisatis
    Pisatis was an ancient district of Elis in the Peloponnese, Greece, encompassing the area around Olympia and closely associated with the Olympic Games.
  • 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: Presean
Triple: [Peresean war dance, hasAlternativeName, Presean]
Generated description
Presean is a traditional Sasak martial arts dance from Lombok, Indonesia, in which fighters duel with rattan sticks and shields as a form of cultural performance and ritual.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Presean
Target entity description: Presean is a traditional Sasak martial arts dance from Lombok, Indonesia, in which fighters duel with rattan sticks and shields as a form of cultural performance and ritual.
  • A. Seresin
    Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
  • B. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • C. Prilidian
    Prilidian was an early Christian disciple associated with Babylas of Antioch, remembered within the tradition of the Antiochene church.
  • D. Cesariny
    Cesariny is the surname of Mário Cesariny de Vasconcelos Tavares, a prominent Portuguese surrealist poet and painter.
  • E. Pisatis
    Pisatis was an ancient district of Elis in the Peloponnese, Greece, encompassing the area around Olympia and closely associated with the Olympic Games.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679cbc388190bb2b444a69a597a6 completed April 20, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082de8a0dc8190a4b7ecc580f720f0 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082ec3d1348190baa740b2c28af65c completed May 16, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a082f9cf5908190b9b766c70164ee75 completed May 16, 2026, 8:49 a.m.
Created at: April 11, 2026, 11:33 p.m.