Triple
T6595491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morris Swadesh |
E148463
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mary Haas |
E391384
|
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: Mary Haas | Statement: [Morris Swadesh, spouse, Mary Haas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Haas Context triple: [Morris Swadesh, spouse, Mary Haas]
-
A.
Mary Haas
chosen
Mary Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists in the Boasian tradition.
-
B.
Betty Haas
Betty Haas is known as the former wife of American politician and longtime U.S. Senator Joe Lieberman.
-
C.
Mary Genevieve Laufersweiler
Mary Genevieve Laufersweiler was the mother of American hotel magnate Conrad Hilton and a formative influence on his early life and values.
-
D.
Mary Rommely
Mary Rommely is the deeply religious, old-world immigrant grandmother in Betty Smith’s novel "A Tree Grows in Brooklyn," known for her enduring faith and influence on her daughter Katie Nolan and granddaughter Francie.
-
E.
Anne Schaefer
Anne Schaefer was an American silent film actress active in the early 20th century, appearing in numerous productions during the 1910s and 1920s.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aed289448190a13c77085bccb006 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f7450dc8190881a9347b8b9475f |
completed | March 28, 2026, 1:31 a.m. |
Created at: March 27, 2026, 1:55 p.m.