Triple

T16056401
Position Surface form Disambiguated ID Type / Status
Subject Deadly Impact E389491 entity
Predicate editor P1954 FINISHED
Object Andrew Cohen
Andrew Cohen is a film editor known for his work on the action thriller "Deadly Impact."
E1216342 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: Andrew Cohen | Statement: [Deadly Impact, editor, Andrew Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Cohen
Context triple: [Deadly Impact, editor, Andrew Cohen]
  • A. Andrew Cohen
    Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
  • B. Andrew Cohen
    Andrew Cohen is an American television producer and media executive best known for creating and hosting Bravo’s late-night talk show "Watch What Happens Live with Andy Cohen."
  • C. Andrew Cohen
    Andrew Cohen is a theoretical physicist known for his work in particle physics and for being one of Howard Georgi’s prominent students.
  • D. Allen Cohen
    Allen Cohen was a counterculture activist and poet best known for helping organize the landmark 1967 Human Be-In in San Francisco’s Golden Gate Park.
  • E. Andrew J. Cohen
    Andrew J. Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Neighbors and its sequel.
  • 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: Andrew Cohen
Triple: [Deadly Impact, editor, Andrew Cohen]
Generated description
Andrew Cohen is a film editor known for his work on the action thriller "Deadly Impact."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrew Cohen
Target entity description: Andrew Cohen is a film editor known for his work on the action thriller "Deadly Impact."
  • A. Andrew Cohen
    Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
  • B. Andrew Cohen
    Andrew Cohen is a theoretical physicist known for his work in particle physics and for being one of Howard Georgi’s prominent students.
  • C. Andrew Cohen
    Andrew Cohen is an American television producer and media executive best known for creating and hosting Bravo’s late-night talk show "Watch What Happens Live with Andy Cohen."
  • D. Allen Cohen
    Allen Cohen was a counterculture activist and poet best known for helping organize the landmark 1967 Human Be-In in San Francisco’s Golden Gate Park.
  • E. Andrew J. Cohen
    Andrew J. Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Neighbors and its sequel.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837579488190964ca004c2eb01c4 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005809cbf08190b35f2c820793163c completed May 10, 2026, 10:03 a.m.
NEDg Description generation batch_6a0059aef1e88190a77ed6036c546718 completed May 10, 2026, 10:10 a.m.
NED2 Entity disambiguation (via description) batch_6a005a2411608190b0fd5dbb68c47fe4 completed May 10, 2026, 10:12 a.m.
Created at: April 10, 2026, 4:56 a.m.