Triple

T1432705
Position Surface form Disambiguated ID Type / Status
Subject I'm Gonna Make You Love Me E30485 entity
Predicate lyricist P1360 FINISHED
Object Jerry Ross E172355 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: Jerry Ross | Statement: [I'm Gonna Make You Love Me, lyricist, Jerry Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Ross
Context triple: [I'm Gonna Make You Love Me, lyricist, Jerry Ross]
  • A. Jerry Ross chosen
    Jerry Ross was an American songwriter and lyricist best known for co-writing classic pop and soul hits in the 1960s.
  • B. Jim Backus
    Jim Backus was an American actor and voice artist best known for voicing the cartoon character Mr. Magoo and portraying Thurston Howell III on the television series "Gilligan's Island."
  • C. George Schlatter
    George Schlatter is an American television producer and director best known for creating and producing the groundbreaking sketch comedy series "Rowan & Martin's Laugh-In."
  • D. Harry Karl
    Harry Karl was an American shoe magnate and businessman best known for his high-profile marriages to Hollywood actresses, including Debbie Reynolds.
  • E. Tom Bosley
    Tom Bosley was an American actor best known for playing the warm, paternal Howard Cunningham on the classic television sitcom "Happy Days."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4ddbe208190a68cb000a6970d17 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293cb8f0819085bea7914abf0683 completed March 8, 2026, 7:46 a.m.
Created at: March 1, 2026, 8 p.m.