Triple
T21440470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gimme Back My Bullets |
E528926
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Double Trouble |
—
|
NE NERFINISHED |
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: Double Trouble | Statement: [Gimme Back My Bullets, hasPart, Double Trouble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Double Trouble Context triple: [Gimme Back My Bullets, hasPart, Double Trouble]
-
A.
Double Trouble
Double Trouble is a 1984 Italian action-comedy film starring Bud Spencer and Terence Hill as mismatched doubles caught up in a high-energy adventure.
-
B.
Double Trouble
chosen
Double Trouble was the blues-rock backing band best known for supporting legendary guitarist Stevie Ray Vaughan.
-
C.
Double Trouble
Double Trouble is a 1984 action-comedy film starring Margaux Hemingway as one of a pair of twin sisters caught up in a high-stakes adventure.
-
D.
Double Trouble
Double Trouble is a short story by Chinua Achebe that is often published as part of his collection "Things Fall Apart" and explores themes of tradition, change, and cultural conflict in Igbo society.
-
E.
Double Trouble
Double Trouble is a 2012 Hong Kong-Taiwan action-comedy film starring Jaycee Chan as a museum security guard caught up in an international art heist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b70101208190a77bf5dd53dce37a |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.