Triple

T9937143
Position Surface form Disambiguated ID Type / Status
Subject A Mighty Heart E193986 entity
Predicate screenwriter P2831 FINISHED
Object John Orloff
John Orloff is an American screenwriter known for his work on films such as "A Mighty Heart" and contributions to acclaimed television projects.
E831354 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: John Orloff | Statement: [A Mighty Heart, screenwriter, John Orloff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Orloff
Context triple: [A Mighty Heart, screenwriter, John Orloff]
  • A. Eric Orsborn
    Eric Orsborn is an American local government leader serving as the mayor of Buckeye, Arizona.
  • B. Michael D’Orso
    Michael D’Orso is an American author and journalist known for co-writing influential nonfiction books, often chronicling social justice movements and notable public figures.
  • C. Henry Krinsky
    Henry Krinsky, later known as Henry Crown, was a prominent American industrialist and financier who built a vast business empire including Material Service Corporation and a major stake in General Dynamics.
  • D. Elliot Brody
    Elliot Brody is the child of Academy Award–winning American actor Adrien Brody.
  • E. Edward Chodorov
    Edward Chodorov was an American playwright, screenwriter, and producer known for his work in mid-20th-century Hollywood and 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: John Orloff
Triple: [A Mighty Heart, screenwriter, John Orloff]
Generated description
John Orloff is an American screenwriter known for his work on films such as "A Mighty Heart" and contributions to acclaimed television projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Orloff
Target entity description: John Orloff is an American screenwriter known for his work on films such as "A Mighty Heart" and contributions to acclaimed television projects.
  • A. Eric Orsborn
    Eric Orsborn is an American local government leader serving as the mayor of Buckeye, Arizona.
  • B. Michael D’Orso
    Michael D’Orso is an American author and journalist known for co-writing influential nonfiction books, often chronicling social justice movements and notable public figures.
  • C. Henry Krinsky
    Henry Krinsky, later known as Henry Crown, was a prominent American industrialist and financier who built a vast business empire including Material Service Corporation and a major stake in General Dynamics.
  • D. Elliot Brody
    Elliot Brody is the child of Academy Award–winning American actor Adrien Brody.
  • E. Edward Chodorov
    Edward Chodorov was an American playwright, screenwriter, and producer known for his work in mid-20th-century Hollywood and 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228e7247c81908dbba76199f2e93f completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22a2831348190909b9507edfe49f3 completed April 5, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69d22af8914c8190a8116a37a42b633c completed April 5, 2026, 9:27 a.m.
Created at: March 30, 2026, 8:44 p.m.