Triple
T9199133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjorie Tallchief |
E220791
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tallchief |
E220791
|
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: Tallchief | Statement: [Marjorie Tallchief, familyName, Tallchief]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tallchief Context triple: [Marjorie Tallchief, familyName, Tallchief]
-
A.
Maria Tallchief
Maria Tallchief was a pioneering American ballerina of Osage heritage, celebrated as the first Native American prima ballerina and a leading star of the New York City Ballet in the mid-20th century.
-
B.
Marjorie Tallchief
chosen
Marjorie Tallchief was a prominent American ballerina of Osage heritage, celebrated as the first Native American to become "première danseuse étoile" of the Paris Opera Ballet.
-
C.
Colorado Dancer
Colorado Dancer was a well-bred Thoroughbred mare known primarily as the dam of the outstanding racehorse and sire Dubai Millennium.
-
D.
Isadora
Isadora is a 1968 biographical drama film starring Vanessa Redgrave as the pioneering modern dancer Isadora Duncan.
-
E.
Esteli
Estelí is a city in northern Nicaragua known as a regional commercial center and a hub for the country’s cigar and tobacco industry.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd880ab808190aa785a5f1e5d5976 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139b350e08190a68f8870433f6bae |
completed | April 4, 2026, 4:17 p.m. |
Created at: March 30, 2026, 7:25 p.m.