Triple

T10583240
Position Surface form Disambiguated ID Type / Status
Subject Scarface E249787 entity
Predicate editedBy P1954 FINISHED
Object Gerald B. Greenberg E330713 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: Gerald B. Greenberg | Statement: [Scarface, editedBy, Gerald B. Greenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerald B. Greenberg
Context triple: [Scarface, editedBy, Gerald B. Greenberg]
  • A. Gerald B. Greenberg chosen
    Gerald B. Greenberg is an American film editor best known for his Academy Award–winning work on the 1979 drama "Kramer vs. Kramer."
  • B. Donald P. Greenberg
    Donald P. Greenberg is a pioneering computer graphics researcher and educator known for his influential work in rendering, visualization, and the development of computer graphics programs at Cornell University.
  • C. Stanley R. Greenberg
    Stanley R. Greenberg was an American screenwriter known for his work on socially conscious and science fiction films and television, including the dystopian classic "Soylent Green."
  • D. Edward S. Feldman
    Edward S. Feldman is an American film producer known for overseeing a range of notable movies across several decades, including acclaimed dramas and thrillers.
  • E. Frank E. Seidman
    Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52767d2e0819099511e29e254bc34 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f62d41448190ab65fb9c81d4d673 completed May 2, 2026, 1:03 p.m.
Created at: April 6, 2026, 12:39 p.m.