Triple
T16698148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crooked Way |
E405772
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Louis Forbes |
E321153
|
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: Louis Forbes | Statement: [The Crooked Way, musicBy, Louis Forbes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Forbes Context triple: [The Crooked Way, musicBy, Louis Forbes]
-
A.
Louis Forbes
chosen
Louis Forbes was a film composer and music director known for scoring numerous Hollywood productions during the mid-20th century.
-
B.
Frank Forbes
Frank Forbes is a fictional aspiring young driver and devout Methodist who becomes romantically entangled with an actress while working for Howard Hughes in the film "Rules Don't Apply."
-
C.
William Forbes
William Forbes was a prominent Pittsburgh businessman and president of the Pennsylvania Railroad whose name was given to the historic Forbes Field baseball stadium.
-
D.
Charles Forbes
Charles Forbes is an actor known for appearing in the British crime comedy film "Lock, Stock and Two Smoking Barrels."
-
E.
George Forbes
George Forbes was a New Zealand politician who served as Prime Minister during the early 1930s and led the country through much of the Great Depression.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832f550c8190bf7514d4611dec6a |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919ee61c81909928dd26270e9614 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.