Triple

T1332884
Position Surface form Disambiguated ID Type / Status
Subject Sukarno E28683 entity
Predicate givenName P17 FINISHED
Object Kusno
Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
 E151085 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: Kusno | Statement: [Sukarno, givenName, Kusno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kusno
Context triple: [Sukarno, givenName, Kusno]
  • A. Sasak
    Sasak is an Austronesian language spoken primarily by the Sasak people on the Indonesian island of Lombok.
  • B. Ranggawuni
    Ranggawuni was a 13th-century Javanese king of the Singhasari Kingdom, known for consolidating royal power and laying groundwork for the rise of later Javanese empires.
  • C. Manggala
    Manggala was a Mongol prince of the 13th century, notable as one of the sons of the Yuan dynasty founder Kublai Khan.
  • D. Sukoró
    Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
  • E. Sampang
    Sampang is a coastal city and regency capital on Madura Island in East Java, Indonesia, known for its traditional Madurese culture and agriculture-based economy.
  • 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: Kusno
Triple: [Sukarno, givenName, Kusno]
Generated description
Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kusno
Target entity description: Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • A. Sasak
    Sasak is an Austronesian language spoken primarily by the Sasak people on the Indonesian island of Lombok.
  • B. Ranggawuni
    Ranggawuni was a 13th-century Javanese king of the Singhasari Kingdom, known for consolidating royal power and laying groundwork for the rise of later Javanese empires.
  • C. Manggala
    Manggala was a Mongol prince of the 13th century, notable as one of the sons of the Yuan dynasty founder Kublai Khan.
  • D. Sukoró
    Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
  • E. Sampang
    Sampang is a coastal city and regency capital on Madura Island in East Java, Indonesia, known for its traditional Madurese culture and agriculture-based economy.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1e7f1388190a6e4eb65a7997380 completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf383b24819092acd076130ca5c0 completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbf77a3748190a510ea10d8ae4373 completed March 8, 2026, 12:14 a.m.
NED2 Entity disambiguation (via description) batch_69acbfe5eae88190ba65808402ada37f completed March 8, 2026, 12:16 a.m.
Created at: March 1, 2026, 7:55 p.m.