Triple
T22299856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Martin |
E551225
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harford |
—
|
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: Harford | Statement: [Tony Martin, familyName, Harford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harford Context triple: [Tony Martin, familyName, Harford]
-
A.
Howard County
Howard County is a suburban county in central Maryland known for its affluent communities, strong public school system, and the planned city of Columbia.
-
B.
Howard County
Howard County is a county in western Texas known for its seat, the city of Big Spring, and its role in the region’s oil and gas industry.
-
C.
Howard County
Howard County is a rural county in central Nebraska known for its agricultural landscape and small communities.
-
D.
Harford County, Maryland
chosen
Harford County, Maryland is a county in northeastern Maryland known for its mix of suburban communities, rural landscapes, and proximity to the Chesapeake Bay.
-
E.
Carroll County
Carroll County is a largely rural and suburban county in north-central Maryland, known for its small towns, agricultural landscape, and proximity to the Baltimore metropolitan area.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572399148190853c4e91fcf9f38c |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.