Triple
T13044109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Military Police |
E327272
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Redcaps |
E327273
|
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: Redcaps | Statement: [Royal Military Police, nickname, Redcaps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redcaps Context triple: [Royal Military Police, nickname, Redcaps]
-
A.
Redcaps
chosen
Redcaps are members of the British Army’s Royal Military Police, known for their distinctive red-topped caps and role in policing military personnel.
-
B.
Reds
Reds is a Roman chariot racing faction known for competing in venues such as the Circus Maximus.
-
C.
Reds
Reds is a professional rugby union team based in Queensland, Australia, that competes in the Super Rugby competition.
-
D.
Reds
The Reds were the socialist and working-class faction that fought against the conservative Whites during the Finnish Civil War of 1918.
-
E.
Reds
Reds is a 1981 historical drama film directed by and starring Warren Beatty that chronicles the life and political activism of American journalist John Reed during the Russian Revolution.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98050157c8190bb8c640b759ac2b7 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd720248190a23a07dadc7e1348 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:56 p.m.