Triple

T3171413
Position Surface form Disambiguated ID Type / Status
Subject We Kiss in a Shadow E66354 entity
Predicate performedByCharacter P14884 FINISHED
Object Tuptim E333800 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: Tuptim | Statement: [We Kiss in a Shadow, performedByCharacter, Tuptim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuptim
Context triple: [We Kiss in a Shadow, performedByCharacter, Tuptim]
  • A. Tuptim and Lun Tha chosen
    Tuptim and Lun Tha are the tragic young lovers from the musical "The King and I," whose forbidden romance provides one of the story’s central emotional conflicts.
  • B. Lady Thiang
    Lady Thiang is a key supporting character in the musical "The King and I," serving as the King's chief wife and a voice of wisdom and loyalty within the royal court.
  • C. Princess Kako
    Princess Kako is a member of the Japanese imperial family and the second daughter of Crown Prince Fumihito and Crown Princess Kiko.
  • D. Princess Nukata
    Princess Nukata was a 7th-century Japanese noblewoman and poet renowned for her waka poetry and prominent role in the early imperial court.
  • E. Lili
    Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66c043081908eb23a4fe3420a78 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.