Triple

T36502549
Position Surface form Disambiguated ID Type / Status
Subject Put the Blame on Mame E899368 entity
Predicate sungForSoundtrackBy P31734 FINISHED
Object Anita Ellis
Anita Ellis was a Canadian-born American singer best known for dubbing the singing voice of Rita Hayworth in classic Hollywood films of the 1940s.
 E2268941 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: Anita Ellis | Statement: [Put the Blame on Mame, sungForSoundtrackBy, Anita Ellis]
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: Anita Ellis
Triple: [Put the Blame on Mame, sungForSoundtrackBy, Anita Ellis]
Generated description
Anita Ellis was a Canadian-born American singer best known for dubbing the singing voice of Rita Hayworth in classic Hollywood films of the 1940s.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: sungForSoundtrackBy
Context triple: [Put the Blame on Mame, sungForSoundtrackBy, Anita Ellis]
  • A. sangSoundtrackFor chosen
    Indicates that one entity performed or recorded the soundtrack music for a work associated with another entity.
  • B. isSoundtrackOf
    Indicates that a piece of music or collection of music serves as the soundtrack for a particular work, such as a film, game, or show.
  • C. composerOfSoundtrackFor
    Indicates that one entity created the musical score or soundtrack specifically for a work associated with another entity.
  • D. hasSoundtrackWork
    Indicates that one entity (typically a media product or work) includes or is associated with another entity that serves as its soundtrack or musical score.
  • E. followsInFilmSoundtrack
    Indicates that one musical piece in a film’s soundtrack comes immediately after another in the sequence or ordering of the soundtrack.
  • 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_69f76e5b92088190933afda3f7531dd4 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c263c5e08190a16e1aa1015076dd completed June 29, 2026, 12:54 a.m.
NEDg Description generation batch_6a41c2d5fda881908f7f732512e9bb5e completed June 29, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_6a41c33a52188190a764e840b702e782 completed June 29, 2026, 12:58 a.m.
PD Predicate disambiguation batch_69f7c1b91fd88190ab85afd626603769 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:10 p.m.