Triple

T10611707
Position Surface form Disambiguated ID Type / Status
Subject King Thibaw Min E276022 entity
Predicate spouse P13 FINISHED
Object Supayalay
Supayalay was a Burmese queen consort of the Konbaung Dynasty and one of the principal wives of the last king of Burma, Thibaw Min.
E874823 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: Supayalay | Statement: [King Thibaw Min, spouse, Supayalay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Supayalay
Context triple: [King Thibaw Min, spouse, Supayalay]
  • A. Phimeanakas
    Phimeanakas is an ancient Hindu temple within Angkor Thom in Cambodia, built in a stepped pyramid style and historically associated with the royal palace of the Khmer Empire.
  • B. Makha Bucha
    Makha Bucha is a major Buddhist holy day, primarily observed in Thailand, commemorating the Buddha’s teachings and a historic gathering of his disciples.
  • C. Tharmada
    Tharmada is a town in central Saudi Arabia where the Central Najdi dialect of Arabic is commonly spoken.
  • D. Hsipaw
    Hsipaw is a historic riverside town in northern Myanmar known for its Shan cultural heritage, hill-country scenery, and popularity as a trekking base.
  • E. Nong Yai
    Nong Yai is a district-level locality in Thailand known for its rural communities and agricultural landscape within Chonburi Province.
  • 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: Supayalay
Triple: [King Thibaw Min, spouse, Supayalay]
Generated description
Supayalay was a Burmese queen consort of the Konbaung Dynasty and one of the principal wives of the last king of Burma, Thibaw Min.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Supayalay
Target entity description: Supayalay was a Burmese queen consort of the Konbaung Dynasty and one of the principal wives of the last king of Burma, Thibaw Min.
  • A. Phimeanakas
    Phimeanakas is an ancient Hindu temple within Angkor Thom in Cambodia, built in a stepped pyramid style and historically associated with the royal palace of the Khmer Empire.
  • B. Makha Bucha
    Makha Bucha is a major Buddhist holy day, primarily observed in Thailand, commemorating the Buddha’s teachings and a historic gathering of his disciples.
  • C. Tharmada
    Tharmada is a town in central Saudi Arabia where the Central Najdi dialect of Arabic is commonly spoken.
  • D. Hsipaw
    Hsipaw is a historic riverside town in northern Myanmar known for its Shan cultural heritage, hill-country scenery, and popularity as a trekking base.
  • E. Nong Yai
    Nong Yai is a district-level locality in Thailand known for its rural communities and agricultural landscape within Chonburi Province.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5a1450819082ad445712fb7868 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ec61b388190adee9b3577567709 completed April 10, 2026, 8:34 p.m.
NEDg Description generation batch_69d95f824b3081908561f0d3748e3713 completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d9600a29808190af583d2fd696ec6a completed April 10, 2026, 8:39 p.m.
Created at: April 8, 2026, 7:33 p.m.