Triple

T16099820
Position Surface form Disambiguated ID Type / Status
Subject Bound for Glory E390585 entity
Predicate starring P1507 FINISHED
Object John Lehne
John Lehne is an actor best known for his role in the film "Bound for Glory."
 E1224258 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 Lehne | Statement: [Bound for Glory, starring, John Lehne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Lehne
Context triple: [Bound for Glory, starring, John Lehne]
  • A. Robert Leahy
    Robert Leahy is an American clinical psychologist and prominent cognitive therapist known for his work on anxiety, depression, and cognitive-behavioral therapy.
  • B. Philip Langner
    Philip Langner was an American theater and film producer best known for his work on influential mid-20th-century stage and screen productions.
  • C. Lee Neuwirth
    Lee Neuwirth is an American mathematician known for his work in topology and for being the father of actress and dancer Bebe Neuwirth.
  • D. Paul Madvig
    Paul Madvig is the politically connected fixer and central protagonist of the 1942 film noir "The Glass Key," navigating corruption, loyalty, and murder in a tense urban underworld.
  • E. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "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: John Lehne
Triple: [Bound for Glory, starring, John Lehne]
Generated description
John Lehne is an actor best known for his role in the film "Bound for Glory."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Lehne
Target entity description: John Lehne is an actor best known for his role in the film "Bound for Glory."
  • A. Robert Leahy
    Robert Leahy is an American clinical psychologist and prominent cognitive therapist known for his work on anxiety, depression, and cognitive-behavioral therapy.
  • B. Philip Langner
    Philip Langner was an American theater and film producer best known for his work on influential mid-20th-century stage and screen productions.
  • C. Lee Neuwirth
    Lee Neuwirth is an American mathematician known for his work in topology and for being the father of actress and dancer Bebe Neuwirth.
  • D. Paul Madvig
    Paul Madvig is the politically connected fixer and central protagonist of the 1942 film noir "The Glass Key," navigating corruption, loyalty, and murder in a tense urban underworld.
  • E. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6756948190a7f5ecb375e59701 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9849a08190a575f19e816e6df2 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007ec876ac8190afae26442f8b2a9a completed May 10, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_6a007f3bf6e081908554238d069d9abc completed May 10, 2026, 12:51 p.m.
Created at: April 10, 2026, 5 a.m.