Triple

T21453073
Position Surface form Disambiguated ID Type / Status
Subject Howard W. Koch E529266 entity
Predicate notableWork P4 FINISHED
Object The Last Mile
The Last Mile is a 1959 American prison drama film directed by Howard W. Koch, known for its intense depiction of death row inmates awaiting execution.
 E1485028 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: The Last Mile | Statement: [Howard W. Koch, notableWork, The Last Mile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Last Mile
Context triple: [Howard W. Koch, notableWork, The Last Mile]
  • A. The Last Mile
    The Last Mile is a crime thriller novel by David Baldacci featuring memory-gifted detective Amos Decker as he investigates a death row inmate’s shocking last-minute reprieve.
  • B. Last Mile Home
    "Last Mile Home" is a song by the American rock band Mechanical Bull.
  • C. Middle Post Road
    Middle Post Road is a historic segment of the old Boston Post Road route that once connected New York City and Boston.
  • D. Many a Mile
    "Many a Mile" is a folk song by American singer-songwriter Patrick Sky, known for its reflective lyrics and traditional acoustic style.
  • E. The Last Stop
    "The Last Stop" is a politically charged, fan-favorite song by Dave Matthews Band known for its complex structure and Middle Eastern-influenced melodies.
  • 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: The Last Mile
Triple: [Howard W. Koch, notableWork, The Last Mile]
Generated description
The Last Mile is a 1959 American prison drama film directed by Howard W. Koch, known for its intense depiction of death row inmates awaiting execution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Last Mile
Target entity description: The Last Mile is a 1959 American prison drama film directed by Howard W. Koch, known for its intense depiction of death row inmates awaiting execution.
  • A. The Last Mile
    The Last Mile is a crime thriller novel by David Baldacci featuring memory-gifted detective Amos Decker as he investigates a death row inmate’s shocking last-minute reprieve.
  • B. Last Mile Home
    "Last Mile Home" is a song by the American rock band Mechanical Bull.
  • C. Middle Post Road
    Middle Post Road is a historic segment of the old Boston Post Road route that once connected New York City and Boston.
  • D. Many a Mile
    "Many a Mile" is a folk song by American singer-songwriter Patrick Sky, known for its reflective lyrics and traditional acoustic style.
  • E. The Last Stop
    "The Last Stop" is a politically charged, fan-favorite song by Dave Matthews Band known for its complex structure and Middle Eastern-influenced melodies.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d50b88819081a771596d0a2b2b completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90cd3108190a2385924b8544a00 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c9b5f08c8190b37c854f616944a9 completed May 17, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca47743081908cf7f9211eeedcc6 completed May 17, 2026, 2:01 p.m.
Created at: April 16, 2026, 6:07 p.m.