Triple
T4441680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electric Entertainment |
E96184
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Outpost |
E147117
|
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: The Outpost | Statement: [Electric Entertainment, notableWork, The Outpost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Outpost Context triple: [Electric Entertainment, notableWork, The Outpost]
-
A.
The Outpost
chosen
The Outpost is a 2020 war drama film depicting the Battle of Kamdesh in Afghanistan, known for its intense combat realism and an ensemble cast including Scott Eastwood and Orlando Bloom.
-
B.
The Killing Ground
The Killing Ground is a thriller novel by Jack Higgins featuring his recurring character Sean Dillon in a high-stakes tale of terrorism, kidnapping, and covert operations.
-
C.
Behind the Front
"Behind the Front" is the debut studio album by American hip hop group Black Eyed Peas, showcasing their early alternative and socially conscious rap style before their later pop-oriented success.
-
D.
L’Assaut
L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
-
E.
On Deadly Ground
On Deadly Ground is a 1994 action film directed by and starring Steven Seagal, centered on an environmentalist oil-rig firefighter battling corporate corruption in Alaska.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ad71588190b1dcad4250472c29 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61380fca08190bf036a7d82cee0e7 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.