Triple

T7977554
Position Surface form Disambiguated ID Type / Status
Subject George McFly E185483 entity
Predicate portrayedBy P1507 FINISHED
Object Jeffrey Weissman
Jeffrey Weissman is an American actor best known for taking over the role of George McFly in the Back to the Future film series.
E710056 NE FINISHED

How this triple was built (4 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: Jeffrey Weissman | Statement: [George McFly, portrayedBy, Jeffrey Weissman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Weissman
Context triple: [George McFly, portrayedBy, Jeffrey Weissman]
  • A. Rob Weiss
    Rob Weiss is an American television and film producer, writer, and director best known for his work on the HBO series "Entourage."
  • B. Andrew Weiss
    Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
  • C. Michael Weiss
    Michael Weiss is a common personal name shared by multiple notable individuals across fields such as journalism, sports, and the arts.
  • D. Steve Weissman
    Steve Weissman is an American political activist and writer best known for his leadership role in the 1964 Berkeley Free Speech Movement.
  • E. Martin Weinberg
    Martin Weinberg is a sociologist known for his influential research on human sexuality, sexual deviance, and the social construction of sexual norms.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jeffrey Weissman
Triple: [George McFly, portrayedBy, Jeffrey Weissman]
Generated description
Jeffrey Weissman is an American actor best known for taking over the role of George McFly in the Back to the Future film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeffrey Weissman
Target entity description: Jeffrey Weissman is an American actor best known for taking over the role of George McFly in the Back to the Future film series.
  • A. Rob Weiss
    Rob Weiss is an American television and film producer, writer, and director best known for his work on the HBO series "Entourage."
  • B. Andrew Weiss
    Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
  • C. Michael Weiss
    Michael Weiss is a common personal name shared by multiple notable individuals across fields such as journalism, sports, and the arts.
  • D. Steve Weissman
    Steve Weissman is an American political activist and writer best known for his leadership role in the 1964 Berkeley Free Speech Movement.
  • E. Martin Weinberg
    Martin Weinberg is a sociologist known for his influential research on human sexuality, sexual deviance, and the social construction of sexual norms.
  • F. None of above. chosen

Provenance (5 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf716508190b4245bd5d89ae8c4 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63b72c508190b0ad8acf975c1527 completed April 1, 2026, 12:15 a.m.
NEDg Description generation batch_69cc68634dc88190bc9b9e0598929d4d completed April 1, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69cc6946aa5481908d682957b818a3e9 completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:14 p.m.