Triple
T18714147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ghost and Mr. Chicken |
E457591
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Reta Shaw |
—
|
NE NERFINISHED |
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: Reta Shaw | Statement: [The Ghost and Mr. Chicken, starring, Reta Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reta Shaw Context triple: [The Ghost and Mr. Chicken, starring, Reta Shaw]
-
A.
Reta Shaw
chosen
Reta Shaw was an American character actress best known for her comedic roles in mid-20th-century film, television, and Broadway productions.
-
B.
Ruth Henshaw
Ruth Henshaw is a fictional character portrayed by American actress Frances Rafferty, likely in mid-20th-century film or television.
-
C.
Aileen Marlowe
Aileen Marlowe was the wife of American film and television actor Hugh Marlowe.
-
D.
Shelley Barnes
Shelley Barnes is the full given name of the Arthur character commonly known as Binky Barnes, a tough but good-hearted bulldog who is one of Arthur Read’s classmates.
-
E.
Lucia Walters
Lucia Walters is a Canadian actress known for her supporting roles in film and television, including appearances in genre and family-oriented productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab4ee6881908f19558937cbb078 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:50 a.m.