Triple
T9654127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacksonville Sheriff’s Office |
E233406
|
entity |
| Predicate | leaderTitle |
P8
|
FINISHED |
| Object | Sheriff |
E377240
|
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: Sheriff | Statement: [Jacksonville Sheriff’s Office, leaderTitle, Sheriff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheriff Context triple: [Jacksonville Sheriff’s Office, leaderTitle, Sheriff]
-
A.
Sheriff
chosen
The Sheriff is the elected chief law enforcement official of a county, responsible for overseeing public safety, managing the sheriff’s office, and operating the county jail.
-
B.
Sherriff’s Deputy
Sherriff’s Deputy is a Thoroughbred racehorse known for being sired by the stallion Curlin.
-
C.
Sherif
Sherif is a masculine given name of Arabic origin commonly used in Egypt and other Arabic-speaking countries.
-
D.
Sheriff Sam Galt
Sheriff Sam Galt is the principled frontier lawman protagonist of the Western film "The Iron Sheriff."
-
E.
Sheriff Hartman
Sheriff Hartman is a supporting law-enforcement character in the 2016 Broadway revival of the classic newsroom comedy "The Front Page."
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bda8e7881908b0e36b91a8d3891 |
completed | April 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18270dee481909c8d2de1fafdaf5b |
completed | April 4, 2026, 9:28 p.m. |
Created at: March 30, 2026, 8:13 p.m.