Triple
T18261775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Saigon |
E437373
|
entity |
| Predicate | originalWestEndLeadCharacter |
P131079
|
FINISHED |
| Object | Kim |
—
|
NE NERFINISHED |
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: Kim | Statement: [Miss Saigon, originalWestEndLeadCharacter, Kim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Context triple: [Miss Saigon, originalWestEndLeadCharacter, Kim]
-
A.
Kim
Kim is a common Korean surname shared by many notable figures in Korean history and contemporary society.
-
B.
Kim
Kim is a classic adventure novel by Rudyard Kipling that follows an orphaned boy’s coming-of-age amid espionage and cultural crossroads in British-ruled India.
-
C.
Kim
Kim is a character in the horror film "Don't Be Afraid of the Dark," involved in the story’s supernatural and suspenseful events.
-
D.
Kim
Kim is a Dutch former field hockey player known for her prolific goal-scoring as a forward on the Netherlands national team.
-
E.
Kim
Kim is a common given name used for people of any gender in various cultures, often as a short form of names like Kimberly or Kimball.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Target entity description: Kim is the tragic Vietnamese bar girl and central heroine of the musical "Miss Saigon," whose doomed romance with an American GI drives the story’s emotional core.
-
A.
Kim
Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
-
B.
Kim
"Kim" is a dark, emotionally intense track by Eminem (as Slim Shady) in which he vividly dramatizes a violent confrontation with his then-wife.
-
C.
Kim
Kim is the commonly used nickname of Kim Philby, the infamous British intelligence officer who became a high-ranking Soviet double agent during the Cold War.
-
D.
Kim
Kim is a supporting character in the psychological horror film "It Comes at Night," involved in the tense, paranoia-driven dynamics between two families during a mysterious apocalyptic outbreak.
-
E.
Kim
Kim is a character in the horror film "Don't Be Afraid of the Dark," involved in the story’s supernatural and suspenseful events.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWestEndLeadCharacter Context triple: [Miss Saigon, originalWestEndLeadCharacter, Kim]
-
A.
originalWestEndDirector
Indicates that the subject served as the director of the original West End production of the referenced work.
-
B.
notableWestEndPortrayalBy
Indicates that a person is recognized for a significant or distinguished acting role in London’s West End associated with the subject.
-
C.
originalMaleLeadRole
Indicates that an entity was the first male actor to play a particular leading role in a work or production.
-
D.
broadwayLeadActor
Indicates that the subject is the principal or starring actor in a Broadway production associated with the object.
-
E.
roleInFamousPlay
Indicates that an entity portrays or has portrayed a specific character in a well-known theatrical play.
- F. None of above. chosen
Provenance (4 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff76a1208190abbe6ab8720ed154 |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.