Triple
T14745530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marco Leonardi |
E346458
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mary
Mary is a film featuring Italian actor Marco Leonardi, known for his roles in internationally acclaimed cinema.
|
E1117217
|
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 | Statement: [Marco Leonardi, notableWork, Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Context triple: [Marco Leonardi, notableWork, Mary]
-
A.
Mary
Mary of Waltham, Duchess of Brittany, was a 14th-century English princess and daughter of King Edward III who became duchess through her marriage to John IV, Duke of Brittany.
-
B.
Mary
Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
-
C.
Mary
Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
-
D.
Mary
Mary is a character portrayed by actress and filmmaker Alice Englert.
-
E.
Mary
Mary is the given name of American author Mary E. Wilkins Freeman, known for her regionalist short stories and novels depicting New England village life and women’s experiences.
- 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 Triple: [Marco Leonardi, notableWork, Mary]
Generated description
Mary is a film featuring Italian actor Marco Leonardi, known for his roles in internationally acclaimed cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Target entity description: Mary is a film featuring Italian actor Marco Leonardi, known for his roles in internationally acclaimed cinema.
-
A.
Mary
Mary is a fictional character portrayed by British actress Gemma Jones, known for her nuanced performances in film and television.
-
B.
Mary
Mary is a character portrayed by actress and filmmaker Alice Englert.
-
C.
Mary
Mary is the given name of American character actress Marjorie Main, known for her roles in classic Hollywood films.
-
D.
Mary
Mary is the given name of American silent film actress Mae Marsh, known for her roles in early 20th-century cinema.
-
E.
Mary
Mary is the given name of American actress and singer-songwriter Mare Winningham, known for her work in film, television, and music.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9638648190a2a3eb255ec5ae28 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfe5f00b08190ba44acd2eed94333 |
completed | May 8, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff32e0a48190acc14ceccea3df17 |
completed | May 8, 2026, 3:20 p.m. |
Created at: April 10, 2026, 1:30 a.m.