Triple
T4116328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Boas |
E90299
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Franziska Boas |
E15476
|
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: Franziska Boas | Statement: [Franz Boas, hasChild, Franziska Boas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franziska Boas Context triple: [Franz Boas, hasChild, Franziska Boas]
-
A.
Franziska Boas
chosen
Franziska Boas was an American modern dancer, percussionist, and dance educator known for integrating anthropology, improvisation, and social activism into her work.
-
B.
Marie Reimer
Marie Reimer was the wife of renowned German classical scholar and historian Theodor Mommsen.
-
C.
Frances Kuper
Frances Kuper is known as a former spouse of investigative journalist and author Bob Woodward.
-
D.
Theodora Kroeber
Theodora Kroeber was an American writer and anthropologist best known for her works on Native Californian cultures, including the influential book "Ishi in Two Worlds."
-
E.
Louise Mueller
Louise Mueller is a notable individual who shares the surname Mueller and has achieved sufficient recognition to be distinguished among its bearers.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01f1e2e08190a6b73d7674c34e88 |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b90054081908a51c366c6fe51d7 |
completed | March 14, 2026, 2:07 p.m. |
Created at: March 9, 2026, 3:41 p.m.