Triple
T5808314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst Boas |
E128801
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Boas |
E90299
|
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: Boas | Statement: [Ernst Boas, familyName, Boas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boas Context triple: [Ernst Boas, familyName, Boas]
-
A.
Boas
chosen
Boas is a surname most prominently associated with Franz Boas, the pioneering anthropologist often regarded as the father of American anthropology.
-
B.
Marpissa
Marpissa is a traditional Cycladic village on the Greek island of Paros, known for its narrow alleys, whitewashed houses, and hilltop views.
-
C.
Boa Sr
Boa Sr was the last fluent speaker of the Bo language from the Great Andamanese group, symbolizing the loss of a unique indigenous culture and linguistic heritage in the Andaman Islands.
-
D.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
E.
Mongoose
Mongoose is a popular Node.js object data modeling (ODM) library that provides a schema-based solution for modeling and interacting with MongoDB databases.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1867a481909a7ea3331dbb04ce |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0983ded9c8190b37372627c1e3a50 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:52 p.m.