Triple

T14644903
Position Surface form Disambiguated ID Type / Status
Subject 9 to 5 E343819 entity
Predicate hasCharacter P2308 FINISHED
Object Franklin Hart Jr. E488974 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: Franklin Hart Jr. | Statement: [9 to 5, hasCharacter, Franklin Hart Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franklin Hart Jr.
Context triple: [9 to 5, hasCharacter, Franklin Hart Jr.]
  • A. Franklin Hart Jr. chosen
    Franklin Hart Jr. is the sexist, egotistical, and tyrannical boss who serves as the primary antagonist in the comedy film "9 to 5."
  • B. Franklin Simmons
    Franklin Simmons was a 19th-century American sculptor known for his public monuments and commemorative statues, particularly those related to the Civil War.
  • C. Franklin Lett Jr.
    Franklin Lett Jr. is best known as the husband and longtime manager of singer and actress Della Reese.
  • D. Franklin Armstrong
    Franklin Armstrong is a thoughtful and good-natured character from the Peanuts comic strip, notable as one of the first African American characters in mainstream American comics.
  • E. Franklin Adreon
    Franklin Adreon was an American film and television director, producer, and writer best known for his work on mid-20th-century serials and Westerns.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ea6d8481908e6331ca173c646b completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d5d05481908dbb23392c05d23b completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.