Triple
T4423724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lock, Stock and Two Smoking Barrels |
E95160
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Bacon |
E29977
|
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: Bacon | Statement: [Lock, Stock and Two Smoking Barrels, mainCharacter, Bacon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bacon Context triple: [Lock, Stock and Two Smoking Barrels, mainCharacter, Bacon]
-
A.
Bacon
chosen
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
B.
Jambon
Jambon is a surname most notably associated with Belgian politician Jan Jambon.
-
C.
Canadian Bacon
Canadian Bacon is a 1995 political satire film directed by Michael Moore that humorously critiques U.S.–Canada relations and American militarism.
-
D.
Bayonne ham
Bayonne ham is a traditional dry-cured French ham renowned for its delicate flavor and centuries-old artisanal production methods.
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554b36a48190a475ac5474bed132 |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.