Triple

T7288072
Position Surface form Disambiguated ID Type / Status
Subject Lean on Me E163924 entity
Predicate starring P1507 FINISHED
Object Beverly Todd E607077 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: Beverly Todd | Statement: [Lean on Me, starring, Beverly Todd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beverly Todd
Context triple: [Lean on Me, starring, Beverly Todd]
  • A. Beverly Todd chosen
    Beverly Todd is an American actress known for her work in film, television, and theater, including a notable role in the comedy-drama "The Bucket List."
  • B. Suzanne Todd
    Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
  • C. Beverly Gage
    Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
  • D. Beverly Penn
    Beverly Penn is a young heiress in the fantasy romance film "Winter's Tale" whose tragic, otherworldly love story drives the movie's central themes of destiny and miracles.
  • E. Carol Seaver
    Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6a73fc8190ae5ce81fd3e46d87 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eedfa4d08190997a692b81309309 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 2:59 p.m.