Triple
T11760628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Way to Treat a Lady |
E279644
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Stanley Myers |
E226089
|
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: Stanley Myers | Statement: [No Way to Treat a Lady, musicBy, Stanley Myers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanley Myers Context triple: [No Way to Treat a Lady, musicBy, Stanley Myers]
-
A.
Stanley Myers
chosen
Stanley Myers was a British film composer best known for his evocative scores, including the iconic music for the film "The Deer Hunter."
-
B.
Stanley Hudson
Stanley Hudson is a gruff, crossword-loving sales representative at Dunder Mifflin known for his deadpan humor and apathy toward office antics in the U.S. version of The Office.
-
C.
Murray Burnett
Murray Burnett was an American playwright best known for co-writing the stage play that inspired the classic film "Casablanca."
-
D.
Stanley Crawford
Stanley Crawford is the skeptical English illusionist and main character in Woody Allen's romantic comedy film "Magic in the Moonlight."
-
E.
Stanley Arthurs
Stanley Arthurs was an American illustrator known for his historical and narrative paintings, particularly scenes of early American history, and as a prominent student of Howard Pyle.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a4be7c481908deab31f2ee20e0c |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 8, 2026, 9:41 p.m.