Triple
T10382848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sissy Spacek |
E244684
|
entity |
| Predicate | notableWork |
P4
|
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: [Sissy Spacek, notableWork, Raggedy Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raggedy Man Context triple: [Sissy Spacek, notableWork, 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e992d8e08190aaa9a04925f52ccc |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7959b6c2c819085b606280024c0f9 |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:04 p.m.