Triple

T3236936
Position Surface form Disambiguated ID Type / Status
Subject Crumb E67876 entity
Predicate editedBy P1954 FINISHED
Object Victor Livingston
Victor Livingston is a film editor best known for his work on the documentary "Crumb."
E340301 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: Victor Livingston | Statement: [Crumb, editedBy, Victor Livingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Livingston
Context triple: [Crumb, editedBy, Victor Livingston]
  • A. Victor Maynard
    Victor Maynard is a fastidious, aging British hitman whose orderly professional life is upended when he becomes entangled with an unpredictable young woman in the dark comedy film "Wild Target."
  • B. Victor Willis
    Victor Willis is an American singer, songwriter, and actor best known as the original lead vocalist and co-writer for the disco group Village People.
  • C. Wilmot Reed
    Wilmot Reed is the given first and middle name of Reed Hastings, the American entrepreneur best known as the co-founder and former CEO of Netflix.
  • D. Henry Baldwin
    Henry Baldwin was an Associate Justice of the U.S. Supreme Court in the early 19th century, known for his often idiosyncratic and independent judicial opinions.
  • E. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • 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: Victor Livingston
Triple: [Crumb, editedBy, Victor Livingston]
Generated description
Victor Livingston is a film editor best known for his work on the documentary "Crumb."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victor Livingston
Target entity description: Victor Livingston is a film editor best known for his work on the documentary "Crumb."
  • A. Victor Maynard
    Victor Maynard is a fastidious, aging British hitman whose orderly professional life is upended when he becomes entangled with an unpredictable young woman in the dark comedy film "Wild Target."
  • B. Victor Willis
    Victor Willis is an American singer, songwriter, and actor best known as the original lead vocalist and co-writer for the disco group Village People.
  • C. Wilmot Reed
    Wilmot Reed is the given first and middle name of Reed Hastings, the American entrepreneur best known as the co-founder and former CEO of Netflix.
  • D. Henry Baldwin
    Henry Baldwin was an Associate Justice of the U.S. Supreme Court in the early 19th century, known for his often idiosyncratic and independent judicial opinions.
  • E. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b277459d1081909766934ce6a56091 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b2780e41e0819080ddb26668f32838 completed March 12, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69b27bd238a48190b9d13ee8a8bc955d completed March 12, 2026, 8:39 a.m.
Created at: March 8, 2026, 3:08 p.m.