Triple
T5353369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road to Singapore |
E102629
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Frank Butler |
E456160
|
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: Frank Butler | Statement: [Road to Singapore, screenwriter, Frank Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Butler Context triple: [Road to Singapore, screenwriter, Frank Butler]
-
A.
Frank Butler
chosen
Frank Butler was an American screenwriter and actor best known for his work on classic Hollywood films, including co-writing the Oscar-winning screenplay for "Going My Way."
-
B.
Reg Butler
Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
-
C.
Peter Butler
Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
-
D.
John K. Butler
John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
-
E.
David Buttolph
David Buttolph was an American film composer and arranger known for scoring numerous Hollywood movies from the 1930s through the 1950s.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86149774819084049a8785e3f2e0 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21dbc540819086aca16af1aa6213 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.