Triple
T13141217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harris County Sheriff’s Office |
E312213
|
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: [Harris County Sheriff’s Office, leaderTitle, Sheriff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheriff Context triple: [Harris County 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
Sherriff is an English surname most notably borne by R. C. Sherriff, the playwright and screenwriter known for works such as "Journey's End."
-
C.
Sherriff’s Deputy
Sherriff’s Deputy is a Thoroughbred racehorse known for being sired by the stallion Curlin.
-
D.
Sheriff Talbott
Sheriff Talbott is a minor law-enforcement character in Tennessee Williams’ play *Orpheus Descending*, representing the oppressive social order of the small Southern town.
-
E.
Sherif
Sherif is a masculine given name of Arabic origin commonly used in Egypt and other Arabic-speaking countries.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b84f1081908b9e2d54a64d4c2d |
completed | April 10, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae2c3848190b062fa8da7dc8a92 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:10 p.m.