Triple
T11678764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Steel Trap |
E277559
|
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 Steel Trap, musicBy, Louis Forbes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Forbes Context triple: [The Steel Trap, 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.
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.
-
C.
Charles Forbes
Charles Forbes is an actor known for appearing in the British crime comedy film "Lock, Stock and Two Smoking Barrels."
-
D.
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.
-
E.
Murray Forbes
Murray Forbes is an author best known for writing the source novel that inspired the film noir "Hollow Triumph" (also known as "The Scar").
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef14007dd08190b60640be9949ca26 |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.