Triple
T4465087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Spano |
E98356
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mary Calvi
Mary Calvi is an American television journalist and news anchor, best known for her work with WCBS-TV in New York City.
|
E441480
|
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 Calvi | Statement: [Mike Spano, spouse, Mary Calvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Calvi Context triple: [Mike Spano, spouse, Mary Calvi]
-
A.
June Duprez
June Duprez was a British film actress best known for her roles in 1940s dramas and adventure films, including the classic "The Thief of Bagdad."
-
B.
Yvette Guilbert
Yvette Guilbert was a celebrated French cabaret singer and actress of the Belle Époque, renowned for her expressive performances and distinctive long black gloves.
-
C.
Francie Calfo
Francie Calfo is a fictional character from the television series "Alias," known for her close friendship with protagonist Sydney Bristow.
-
D.
Maria Schneider
Maria Schneider is a Grammy-winning American jazz composer and bandleader renowned for her innovative large-ensemble writing and genre-blending orchestral jazz.
-
E.
Maria Schneider
Maria Schneider was a French actress best known for her controversial and breakout role in Bernardo Bertolucci’s film "Last Tango in Paris."
- 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 Calvi Triple: [Mike Spano, spouse, Mary Calvi]
Generated description
Mary Calvi is an American television journalist and news anchor, best known for her work with WCBS-TV in New York City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Calvi Target entity description: Mary Calvi is an American television journalist and news anchor, best known for her work with WCBS-TV in New York City.
-
A.
June Duprez
June Duprez was a British film actress best known for her roles in 1940s dramas and adventure films, including the classic "The Thief of Bagdad."
-
B.
Yvette Guilbert
Yvette Guilbert was a celebrated French cabaret singer and actress of the Belle Époque, renowned for her expressive performances and distinctive long black gloves.
-
C.
Francie Calfo
Francie Calfo is a fictional character from the television series "Alias," known for her close friendship with protagonist Sydney Bristow.
-
D.
Maria Schneider
Maria Schneider was a French actress best known for her controversial and breakout role in Bernardo Bertolucci’s film "Last Tango in Paris."
-
E.
Maria Schneider
Maria Schneider is a Grammy-winning American jazz composer and bandleader renowned for her innovative large-ensemble writing and genre-blending orchestral jazz.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35697937c8190b91f72d9e4f945f6 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6285164b081908f144e74ae3a1be8 |
completed | March 15, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69b62954b77c8190968f844514656415 |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62a0cd92c8190a9eee2a9d73fb679 |
completed | March 15, 2026, 3:39 a.m. |
Created at: March 12, 2026, 11:34 p.m.