Triple
T3016955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of Guernsey |
E82358
|
entity |
| Predicate | appliesToJurisdiction |
P82
|
FINISHED |
| Object | Herm |
E29446
|
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: Herm | Statement: [Lieutenant Governor of Guernsey, appliesToJurisdiction, Herm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herm Context triple: [Lieutenant Governor of Guernsey, appliesToJurisdiction, Herm]
-
A.
Herm
chosen
Herm is a small, privately owned island in the English Channel known for its unspoiled beaches, car-free environment, and status as part of the Bailiwick of Guernsey.
-
B.
Hermánek
Hermánek is a Czech surname most notably borne by actor Karel Hermánek.
-
C.
Herman
Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
-
D.
Herman
Herman is the given name of Belgian politician Herman De Croo, a long-serving liberal statesman and former President of the Belgian Chamber of Representatives.
-
E.
Herman
Herman is the middle name of legendary American baseball player Babe Ruth, whose full name was George Herman Ruth Jr.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6c56708190b7d8d08bca727cc1 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6eac1481909d56844e53c37b59 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.