Triple

T14413644
Position Surface form Disambiguated ID Type / Status
Subject Love Lies Bleeding E357391 entity
Predicate cinematographyBy P1953 FINISHED
Object Ben Fordesman
Ben Fordesman is a cinematographer known for his work on the film "Love Lies Bleeding."
E1141334 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: Ben Fordesman | Statement: [Love Lies Bleeding, cinematographyBy, Ben Fordesman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Fordesman
Context triple: [Love Lies Bleeding, cinematographyBy, Ben Fordesman]
  • A. Max Dennison
    Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
  • B. Dorrell McGowan
    Dorrell McGowan was an American screenwriter known for his work on early Western films, including projects with prominent cowboy stars.
  • C. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • D. Ian Meakins
    Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
  • E. Garth Fagan
    Garth Fagan is a Jamaican-born American choreographer renowned for his innovative, Afro-Caribbean–infused modern dance style and his Tony Award–winning work on Broadway.
  • 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: Ben Fordesman
Triple: [Love Lies Bleeding, cinematographyBy, Ben Fordesman]
Generated description
Ben Fordesman is a cinematographer known for his work on the film "Love Lies Bleeding."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ben Fordesman
Target entity description: Ben Fordesman is a cinematographer known for his work on the film "Love Lies Bleeding."
  • A. Max Dennison
    Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
  • B. Dorrell McGowan
    Dorrell McGowan was an American screenwriter known for his work on early Western films, including projects with prominent cowboy stars.
  • C. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • D. Ian Meakins
    Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
  • E. Garth Fagan
    Garth Fagan is a Jamaican-born American choreographer renowned for his innovative, Afro-Caribbean–infused modern dance style and his Tony Award–winning work on Broadway.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
NEDg Description generation batch_69fec964fc7c8190ae4217122602f320 completed May 9, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69feca1d6c0c8190ab049644153ef087 completed May 9, 2026, 5:46 a.m.
Created at: April 10, 2026, 1:17 a.m.