Triple

T3175091
Position Surface form Disambiguated ID Type / Status
Subject I Have Dreamed E66442 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Lun Tha E333801 NE FINISHED

How this triple was built (2 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: Lun Tha | Statement: [I Have Dreamed, associatedWithCharacter, Lun Tha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lun Tha
Context triple: [I Have Dreamed, associatedWithCharacter, Lun Tha]
  • A. Lun Tha chosen
    Lun Tha is a romantic male lead in the musical "The King and I," known for his forbidden love affair with Tuptim.
  • B. Lun Bawang
    The Lun Bawang are an indigenous Dayak ethnic group of Borneo, traditionally upland farmers and Christians, found mainly in northern Sarawak, Sabah, and across the border in Brunei and Kalimantan.
  • C. Thingyan
    Thingyan is the traditional Burmese New Year water festival, celebrated nationwide with water-throwing, religious merit-making, and cultural festivities.
  • D. Lunan
    Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
  • E. Laoang
    Laoang is a coastal municipality in the province of Northern Samar in the Philippines, known for its island landscapes and fishing communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada671e6848190a683eec1519b9268 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b66b3e081908e8ea11d9b36e50a completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.