Triple

T20618584
Position Surface form Disambiguated ID Type / Status
Subject On the Wagon E506636 entity
Predicate title P38 FINISHED
Object On the Wagon
On the Wagon is a 1939 American comedy film starring the vaudeville duo Wheeler and Woolsey.
E1440769 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: On the Wagon | Statement: [On the Wagon, title, On the Wagon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On the Wagon
Context triple: [On the Wagon, title, On the Wagon]
  • A. On the Wagon
    "On the Wagon" is a song by the alternative rock band Shenanigans.
  • B. The Wagon
    "The Wagon" is a 1991 alternative rock song by Dinosaur Jr. known for its fuzzy guitar sound, melodic hooks, and status as one of the band’s signature tracks.
  • C. The Last Wagon
    "The Last Wagon" is a short story by Ernest Hemingway featuring his recurring character Nick Adams, exploring themes of youth, memory, and the passage of time.
  • D. Wagons East
    Wagons East is a 1994 Western comedy film best known as one of John Candy’s final screen appearances.
  • E. The Wagonmasters
    The Wagonmasters were the longtime backing band for country music star Porter Wagoner, known for supporting his performances on stage and television.
  • 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: On the Wagon
Triple: [On the Wagon, title, On the Wagon]
Generated description
On the Wagon is a 1939 American comedy film starring the vaudeville duo Wheeler and Woolsey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: On the Wagon
Target entity description: On the Wagon is a 1939 American comedy film starring the vaudeville duo Wheeler and Woolsey.
  • A. On the Wagon
    "On the Wagon" is a song by the alternative rock band Shenanigans.
  • B. The Wagon
    "The Wagon" is a 1991 alternative rock song by Dinosaur Jr. known for its fuzzy guitar sound, melodic hooks, and status as one of the band’s signature tracks.
  • C. The Last Wagon
    "The Last Wagon" is a short story by Ernest Hemingway featuring his recurring character Nick Adams, exploring themes of youth, memory, and the passage of time.
  • D. Wagons East
    Wagons East is a 1994 Western comedy film best known as one of John Candy’s final screen appearances.
  • E. The Wagonmasters
    The Wagonmasters were the longtime backing band for country music star Porter Wagoner, known for supporting his performances on stage and television.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abdf9d7c8190969247a4ae55b781 completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb1588a881909f7197bfc38d9e21 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bba2e85881909ae887fc5bc3121f completed May 16, 2026, 6:46 p.m.
NED2 Entity disambiguation (via description) batch_6a08bc410f008190b00bf4956d591176 completed May 16, 2026, 6:49 p.m.
Created at: April 16, 2026, 11:41 a.m.