Triple
T21927186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYPD Police Officer |
E541470
|
entity |
| Predicate | canBePromotedTo |
P28154
|
FINISHED |
| Object | Captain |
—
|
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: Captain | Statement: [NYPD Police Officer, canBePromotedTo, Captain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Captain Context triple: [NYPD Police Officer, canBePromotedTo, Captain]
-
A.
Captain
chosen
Captain is a senior supervisory rank within the Los Angeles Police Department, typically responsible for commanding a division or overseeing major operational units.
-
B.
Captain
Captain is a senior commissioned officer rank in the United States Navy, typically commanding major warships or holding high-level staff positions.
-
C.
Captain
A Captain is a mid-level commissioned officer rank in the British Army, typically commanding a company or serving in key staff and specialist roles.
-
D.
Captain
Captain is the popular nickname of Vijayakanth, a prominent Tamil film actor turned politician known for his action roles and leadership in Tamil Nadu politics.
-
E.
Captain Chris
Captain Chris is the costumed sea-captain mascot representing Christopher Newport University at its athletic events and campus activities.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fc188481909c74fd5f1bd52258 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:46 p.m.