Triple

T35354822
Position Surface form Disambiguated ID Type / Status
Subject Guess Who I Saw Today E1020989 entity
Predicate associatedWithArtistAlbum P102247 FINISHED
Object Nancy Wilson – Something Wonderful E329482 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: Nancy Wilson – Something Wonderful | Statement: [Guess Who I Saw Today, associatedWithArtistAlbum, Nancy Wilson – Something Wonderful]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithArtistAlbum
Context triple: [Guess Who I Saw Today, associatedWithArtistAlbum, Nancy Wilson – Something Wonderful]
  • A. hasAssociatedAlbum chosen
    Indicates that an entity is linked to a specific album with which it is related or connected.
  • B. associatedWithArtistType
    Indicates that an entity has a connection or linkage to a particular category or type of artist.
  • C. associatedWithAlbumReleaseYear
    Indicates that there is a relationship between an album and the specific year in which that album was released.
  • D. associatedWithArtistSeries
    Indicates a relationship where something is connected or linked to a particular artist series.
  • E. associatedWithArtistActivity
    Indicates a relationship where an entity is connected to, involved in, or participates in an artist’s activity or artistic practice.
  • F. None of above.

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_69f76decd95c8190ae428f6a19d535de completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3823d79eac8190a964bf51ecac722f completed June 21, 2026, 5:48 p.m.
PD Predicate disambiguation batch_6a037a0324d08190ac5b610cc0f6a38c completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:03 p.m.