Triple

T9088124
Position Surface form Disambiguated ID Type / Status
Subject Fred MacMurray E217808 entity
Predicate notableWork P4 FINISHED
Object Riding High
Riding High is a 1950 American musical comedy film directed by Frank Capra and starring Bing Crosby, known for its blend of horse-racing drama and lighthearted romance.
 E777515 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: Riding High | Statement: [Fred MacMurray, notableWork, Riding High]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Riding High
Context triple: [Fred MacMurray, notableWork, Riding High]
  • A. Ridin’ High
    "Ridin’ High" is a song best known for its inclusion on the 1990s Memphis power-pop album *Red, Hot and Blue*.
  • B. Ridin' High
    "Ridin' High" is a jazz vocal track performed by Ella Fitzgerald, featured on her acclaimed album of Cole Porter compositions.
  • C. Ride It
    "Ride It" is a popular R&B-influenced pop song by British singer Jay Sean that became one of his breakout international hits.
  • D. Wild Ride
    "Wild Ride" is a song featured on the album "This Time."
  • E. I’m Shooting High
    "I’m Shooting High" is a popular song with lyrics by American songwriter Ted Koehler, known from the Great American Songbook era.
  • 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: Riding High
Triple: [Fred MacMurray, notableWork, Riding High]
Generated description
Riding High is a 1950 American musical comedy film directed by Frank Capra and starring Bing Crosby, known for its blend of horse-racing drama and lighthearted romance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Riding High
Target entity description: Riding High is a 1950 American musical comedy film directed by Frank Capra and starring Bing Crosby, known for its blend of horse-racing drama and lighthearted romance.
  • A. Ridin’ High
    "Ridin’ High" is a song best known for its inclusion on the 1990s Memphis power-pop album *Red, Hot and Blue*.
  • B. Ridin' High
    "Ridin' High" is a jazz vocal track performed by Ella Fitzgerald, featured on her acclaimed album of Cole Porter compositions.
  • C. Ride It
    "Ride It" is a popular R&B-influenced pop song by British singer Jay Sean that became one of his breakout international hits.
  • D. Wild Ride
    "Wild Ride" is a song featured on the album "This Time."
  • E. I’m Shooting High
    "I’m Shooting High" is a popular song with lyrics by American songwriter Ted Koehler, known from the Great American Songbook era.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9657d48081909e0ae0f1fa8ff599 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017d500988190a6abf633f2226858 completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d01963aac881909a4890948f7b7c1c completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019f55a6c8190b7065c0dcb5bb1d9 completed April 3, 2026, 7:50 p.m.
Created at: March 30, 2026, 7:13 p.m.