Triple
T1480365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia |
E30938
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Sylvia Earle |
E114272
|
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: Sylvia Earle | Statement: [Sylvia, notableBearer, Sylvia Earle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Earle Context triple: [Sylvia, notableBearer, Sylvia Earle]
-
A.
Sylvia Earle
chosen
Sylvia Earle is a renowned American marine biologist, oceanographer, and environmental advocate known for her pioneering deep-sea exploration and leadership in ocean conservation.
-
B.
Robert Ballard
Robert Ballard is an American oceanographer and marine archaeologist best known for discovering the wreck of the RMS Titanic and leading numerous deep-sea exploration missions.
-
C.
Marie Andersen
Marie Andersen was the wife of Norwegian Nobel Prize–winning author Knut Hamsun and a significant figure in his personal and literary life.
-
D.
Louise Arner Boyd
Louise Arner Boyd was an American explorer and photographer renowned for her pioneering Arctic expeditions in the early 20th century.
-
E.
Hope Jahren
Hope Jahren is an American geochemist, geobiologist, and author best known for her memoir "Lab Girl" and her research on plant science and the history of the Earth’s climate.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c674cc9c819088fc9146c7a7a914 |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15b1bea08190a1e21ddc15148d3a |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:11 p.m.