Triple
T20976743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Harrington |
E516646
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harrington |
—
|
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: Harrington | Statement: [James Harrington, familyName, Harrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrington Context triple: [James Harrington, familyName, Harrington]
-
A.
Harrington
Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
-
B.
Harrington
chosen
Harrington is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, science, and the arts.
-
C.
Hannan
Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
-
D.
Hannington
Hannington is a small rural village in the English county of Hampshire, known for its traditional countryside setting and historic character.
-
E.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba4a0dc819083b90795d26adfff |
completed | April 21, 2026, 4:23 a.m. |
Created at: April 16, 2026, 1:47 p.m.