Triple

T14348961
Position Surface form Disambiguated ID Type / Status
Subject Ordeal by Innocence E355800 entity
Predicate editor P1954 FINISHED
Object Tom Hemmings
Tom Hemmings is a film and television editor known for his work on projects such as the adaptation of Agatha Christie's "Ordeal by Innocence."
E1092809 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: Tom Hemmings | Statement: [Ordeal by Innocence, editor, Tom Hemmings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Hemmings
Context triple: [Ordeal by Innocence, editor, Tom Hemmings]
  • A. Gene Jackson
    Gene Jackson is an actor known for his role in the film "Shenandoah."
  • B. David Hemmings
    David Hemmings was an English actor, director, and producer best known for his breakout role in Michelangelo Antonioni’s 1966 film "Blow-Up" and his prolific work in British and international cinema.
  • C. John Heard
    John Heard was an American actor best known for his roles in films like "Home Alone," "Big," and "Awakenings," as well as numerous television appearances.
  • D. John Phillip Law
    John Phillip Law was an American film actor known for his roles in 1960s and 1970s movies, including notable performances in both comedies and cult classics.
  • E. Stephen Macht
    Stephen Macht is an American actor known for his work in film and television, including prominent roles in horror and crime dramas.
  • 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: Tom Hemmings
Triple: [Ordeal by Innocence, editor, Tom Hemmings]
Generated description
Tom Hemmings is a film and television editor known for his work on projects such as the adaptation of Agatha Christie's "Ordeal by Innocence."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom Hemmings
Target entity description: Tom Hemmings is a film and television editor known for his work on projects such as the adaptation of Agatha Christie's "Ordeal by Innocence."
  • A. Gene Jackson
    Gene Jackson is an actor known for his role in the film "Shenandoah."
  • B. David Hemmings
    David Hemmings was an English actor, director, and producer best known for his breakout role in Michelangelo Antonioni’s 1966 film "Blow-Up" and his prolific work in British and international cinema.
  • C. John Heard
    John Heard was an American actor best known for his roles in films like "Home Alone," "Big," and "Awakenings," as well as numerous television appearances.
  • D. John Phillip Law
    John Phillip Law was an American film actor known for his roles in 1960s and 1970s movies, including notable performances in both comedies and cult classics.
  • E. Stephen Macht
    Stephen Macht is an American actor known for his work in film and television, including prominent roles in horror and crime dramas.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46a12ad08190a2f0dc5890ed5ce9 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd4768edc881909a0c586b6d9568a3 completed May 8, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69fd47eb7db08190a68f60b255073d8d completed May 8, 2026, 2:18 a.m.
Created at: April 10, 2026, 1:14 a.m.