Triple

T26078609
Position Surface form Disambiguated ID Type / Status
Subject Miss Saigon E657762 entity
Predicate originalWestEndLeadRole P131079 FINISHED
Object Kim
Kim is the tragic Vietnamese bar girl and central heroine of the musical "Miss Saigon," whose love story with an American GI drives the show’s emotional narrative.
 E1315880 NE FINISHED

How this triple was built (3 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: Kim | Statement: [Miss Saigon, originalWestEndLeadRole, Kim]
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: Kim
Triple: [Miss Saigon, originalWestEndLeadRole, Kim]
Generated description
Kim is the tragic Vietnamese bar girl and central heroine of the musical "Miss Saigon," whose love story with an American GI drives the show’s emotional narrative.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originalWestEndLeadRole
Context triple: [Miss Saigon, originalWestEndLeadRole, Kim]
  • A. originalWestEndLeadCharacter chosen
    Indicates that a person was the first actor to play a specific lead character in the original West End production of a show.
  • B. originalWestEndDirector
    Indicates that the subject served as the director of the original West End production of the referenced work.
  • C. notableWestEndPortrayalBy
    Indicates that a person is recognized for a significant or distinguished acting role in London’s West End associated with the subject.
  • D. originalMaleLeadRole
    Indicates that an entity was the first male actor to play a particular leading role in a work or production.
  • E. originalLeadActorRole
    Indicates the role originally played by a particular lead actor in a given production or work.
  • F. None of above.

Provenance (6 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_69ee5bbf0d208190801ee95d4f07fb16 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69fb3425666081908916fcbf3b5dd907 completed May 6, 2026, 12:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1127470eb48190b5229bb8a1a1af75 completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a112adac3c081908be75448b47d78a4 completed May 23, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a112b7e9d788190a06a262f88719457 completed May 23, 2026, 4:22 a.m.
PD Predicate disambiguation batch_69fb2f5f3164819099429c2cc3d24e01 completed May 6, 2026, 12:09 p.m.
Created at: April 26, 2026, 7:36 p.m.