Triple

T14086042
Position Surface form Disambiguated ID Type / Status
Subject The Raggedy Man E338998 entity
Predicate featuresCharacter P626 FINISHED
Object the Raggedy Man E338998 NE FINISHED

How this triple was built (2 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 Raggedy Man | Statement: [The Raggedy Man, featuresCharacter, the Raggedy Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Raggedy Man
Context triple: [The Raggedy Man, featuresCharacter, the Raggedy Man]
  • A. The Raggedy Man chosen
    The Raggedy Man is a popular dialect poem by American writer James Whitcomb Riley that affectionately portrays a whimsical, storytelling handyman figure.
  • B. Raggedy Man
    Raggedy Man is a 1981 American drama film, starring Sissy Spacek and Eric Roberts, about a divorced telephone operator in a small Texas town during World War II.
  • C. Rags
    Rags is a 1986 Broadway musical with music by Charles Strouse that explores the struggles and aspirations of Jewish immigrants in early 20th-century America.
  • D. Rags
    Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
  • E. Hop-o'-My-Thumb
    Hop-o'-My-Thumb is a French fairy tale about a clever, undersized boy who outwits both his impoverished parents and a child-eating ogre to save himself and his brothers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5edff1b881909ea56dc2429ef2dd completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7dc62b081909f3c9259295064cf completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:21 p.m.