Triple

T10148881
Position Surface form Disambiguated ID Type / Status
Subject William D. Wittliff E232578 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Raggedy Man E844140 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: Raggedy Man | Statement: [William D. Wittliff, wroteScreenplayFor, Raggedy Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raggedy Man
Context triple: [William D. Wittliff, wroteScreenplayFor, Raggedy Man]
  • A. Raggedy Man chosen
    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.
  • B. The Raggedy Man
    The Raggedy Man is a popular dialect poem by American writer James Whitcomb Riley that affectionately portrays a whimsical, storytelling handyman figure.
  • 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. Rag Doll
    "Rag Doll" is a hit rock song by Aerosmith, released in 1988 and known for its bluesy groove and prominent horn section.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec024da481908b8170fcf3b18e67 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3009992388190ab2a4aee23d0e004 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:08 p.m.