Triple
T12731586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary-Ellis Bunim |
E304250
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mary-Ellis |
E849250
|
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-Ellis | Statement: [Mary-Ellis Bunim, givenName, Mary-Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary-Ellis Context triple: [Mary-Ellis Bunim, givenName, Mary-Ellis]
-
A.
Madelyn
Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
-
B.
Mary Marie
Mary Marie is a novel by Eleanor H. Porter, best known as the author of "Pollyanna," and features a young girl navigating the emotional upheaval of her parents’ divorce.
-
C.
Mary-Louise
Mary-Louise is a feminine given name most notably associated with American actress Mary-Louise Parker.
-
D.
Elicia
Elicia is a secondary character in the Spanish tragicomedy "La Celestina," depicted as a young prostitute and companion of Celestina who contributes to the work’s themes of desire, greed, and social corruption.
-
E.
Mary Ellis
chosen
Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96467a2248190aff1ebb5db84b3c6 |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8c38a88190853c4d14e2492599 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:25 p.m.