Triple
T6395113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Deele |
E143922
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Shoot 'Em Up Movies |
E550146
|
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: Shoot 'Em Up Movies | Statement: [The Deele, notableSong, Shoot 'Em Up Movies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoot 'Em Up Movies Context triple: [The Deele, notableSong, Shoot 'Em Up Movies]
-
A.
Shoota
"Shoota" is a popular hip-hop track by Playboi Carti featuring Lil Uzi Vert, known for its melodic delivery, energetic production, and influence on the modern trap sound.
-
B.
Shoot 'Em Up
chosen
Shoot 'Em Up is a 2007 over-the-top action film known for its stylized gunfights, dark humor, and frenetic pacing.
-
C.
Action Stations
Action Stations is an interactive attraction at Portsmouth Historic Dockyard that focuses on modern naval technology, operations, and hands-on maritime experiences.
-
D.
Shotgun
"Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
-
E.
Action Pack
Action Pack is a core Ruby on Rails framework component that handles web request routing and controller/view processing for building MVC-based web applications.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0688275d0819086b58123c743a6db |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638935934819096a34da6f1b5110b |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:35 p.m.