Triple

T32328977
Position Surface form Disambiguated ID Type / Status
Subject A Boy Like That / I Have a Love E825994 entity
Predicate 1961FilmSingingVoiceOfAnita P158643 FINISHED
Object Betty Wand
Betty Wand was an American singer best known for providing the uncredited singing voice for Anita in the 1961 film adaptation of "West Side Story."
 E2002564 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: Betty Wand | Statement: [A Boy Like That / I Have a Love, 1961FilmSingingVoiceOfAnita, Betty Wand]
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: Betty Wand
Triple: [A Boy Like That / I Have a Love, 1961FilmSingingVoiceOfAnita, Betty Wand]
Generated description
Betty Wand was an American singer best known for providing the uncredited singing voice for Anita in the 1961 film adaptation of "West Side Story."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 1961FilmSingingVoiceOfAnita
Context triple: [A Boy Like That / I Have a Love, 1961FilmSingingVoiceOfAnita, Betty Wand]
  • A. 2021FilmPerformerOfAnita
    Indicates that an entity performed the role or character named Anita in a film released in 2021.
  • B. portrayedIn1953FilmBy
    Indicates that an entity (typically a person or character) was depicted or played by another entity in a film released in the year 1953.
  • C. sungInFilmBy chosen
    Indicates that a particular song was vocally performed in a film by a specific person or group.
  • D. MarilynMonroeRoleType
    Indicates the type or category of role associated with Marilyn Monroe in a given context.
  • E. AvaGardnerRole
    Indicates that an entity represents a role or character portrayed by Ava Gardner in a film, television production, or other performance.
  • 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_69f34912d0c48190bba75770660320e9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bdec99648190824bce6e87d70be6 completed May 3, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3057242d6081909be790ac6516706e completed June 15, 2026, 7:48 p.m.
NEDg Description generation batch_6a31b300d77481909c984dc72bd43896 completed June 16, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_6a31b35858908190a7ebbe3bea7d8ce3 completed June 16, 2026, 8:34 p.m.
PD Predicate disambiguation batch_69f6ba6cef208190bc5cd43d96127004 completed May 3, 2026, 3:01 a.m.
Created at: May 1, 2026, 12:47 a.m.