Triple
T13260305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hokan (proposed) |
E315773
|
entity |
| Predicate | studiedBy |
P1945
|
FINISHED |
| Object |
Mary R. Haas
Mary R. Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists.
|
E1117019
|
NE FINISHED |
How this triple was built (4 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 R. Haas | Statement: [Hokan (proposed), studiedBy, Mary R. Haas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary R. Haas Context triple: [Hokan (proposed), studiedBy, Mary R. Haas]
-
A.
Evelyn D. Haas
Evelyn D. Haas was a prominent American philanthropist and arts patron, closely associated with major cultural and charitable initiatives in the San Francisco Bay Area.
-
B.
Margaret C. Etter
Margaret C. Etter was an influential American chemist and crystallographer known for pioneering work in hydrogen bonding and crystal engineering.
-
C.
Mary M. Wyman
Mary M. Wyman was the wife of influential American geographer and geologist William Morris Davis.
-
D.
Dorothy C. Cressman
Dorothy C. Cressman was the wife of American archaeologist and anthropologist Luther Cressman.
-
E.
Mary M. Schroeder
Mary M. Schroeder is an American jurist who served as a judge, and later chief judge, on the U.S. Court of Appeals for the Ninth Circuit.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mary R. Haas Triple: [Hokan (proposed), studiedBy, Mary R. Haas]
Generated description
Mary R. Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary R. Haas Target entity description: Mary R. Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists.
-
A.
Evelyn D. Haas
Evelyn D. Haas was a prominent American philanthropist and arts patron, closely associated with major cultural and charitable initiatives in the San Francisco Bay Area.
-
B.
Margaret C. Etter
Margaret C. Etter was an influential American chemist and crystallographer known for pioneering work in hydrogen bonding and crystal engineering.
-
C.
Mary M. Wyman
Mary M. Wyman was the wife of influential American geographer and geologist William Morris Davis.
-
D.
Dorothy C. Cressman
Dorothy C. Cressman was the wife of American archaeologist and anthropologist Luther Cressman.
-
E.
Mary M. Schroeder
Mary M. Schroeder is an American jurist who served as a judge, and later chief judge, on the U.S. Court of Appeals for the Ninth Circuit.
- F. None of above. chosen
Provenance (5 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb6b97888190923ce7a6e59ff752 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdffed6978819096b61adfe7eba2f0 |
completed | May 8, 2026, 3:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe00870b40819090cf6304272f714d |
completed | May 8, 2026, 3:25 p.m. |
Created at: April 9, 2026, 9:25 p.m.