Triple
T1506192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Cabot Agassiz |
E33906
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Agassiz |
E4499
|
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: Agassiz | Statement: [Elizabeth Cabot Agassiz, familyName, Agassiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agassiz Context triple: [Elizabeth Cabot Agassiz, familyName, Agassiz]
-
A.
Louis Agassiz
chosen
Louis Agassiz was a 19th-century Swiss-American naturalist and geologist known for his pioneering work on glaciation and influential but controversial views on biology and race.
-
B.
Heinsius
Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
-
C.
Mommsen
Mommsen is a German surname most famously associated with Theodor Mommsen, the Nobel Prize–winning historian and scholar of ancient Rome.
-
D.
Gressier
Gressier is a coastal commune in western Haiti known for its proximity to Port-au-Prince and its vulnerability to earthquakes and hurricanes.
-
E.
Mahlon
Mahlon is a minor biblical figure in the Book of Ruth, known as one of Naomi’s sons and the first husband of Ruth.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a88735f8a8819089177a4d3e4a0211 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2336cb4c81909df0cae469673dee |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:24 p.m.