Triple
T7436254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quest for Fire |
E171622
|
entity |
| Predicate | makeupArtist |
P53848
|
FINISHED |
| Object |
Sarah Monzani
Sarah Monzani is a film makeup artist known for her work on notable productions including the prehistoric adventure movie "Quest for Fire."
|
E678119
|
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: Sarah Monzani | Statement: [Quest for Fire, makeupArtist, Sarah Monzani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Monzani Context triple: [Quest for Fire, makeupArtist, Sarah Monzani]
-
A.
Anna Maria Moncini
Anna Maria Moncini was the wife of Italian Socialist politician and former Prime Minister Bettino Craxi.
-
B.
Maria Ricossa
Maria Ricossa is a Canadian actress known for her work in film, television, and theatre.
-
C.
Susanna Fontanarossa
Susanna Fontanarossa was an Italian woman from Liguria best known as the mother of the explorer Bartholomew Columbus and his more famous brother Christopher Columbus.
-
D.
Marisa Polvino
Marisa Polvino is a film producer known for her work on major feature films, including the 2014 science fiction movie "Transcendence."
-
E.
Laura Martinozzi
Laura Martinozzi was an Italian noblewoman and duchess of Modena, a niece of Cardinal Mazarin and a politically influential figure in 17th-century Italy.
- 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: Sarah Monzani Triple: [Quest for Fire, makeupArtist, Sarah Monzani]
Generated description
Sarah Monzani is a film makeup artist known for her work on notable productions including the prehistoric adventure movie "Quest for Fire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Monzani Target entity description: Sarah Monzani is a film makeup artist known for her work on notable productions including the prehistoric adventure movie "Quest for Fire."
-
A.
Anna Maria Moncini
Anna Maria Moncini was the wife of Italian Socialist politician and former Prime Minister Bettino Craxi.
-
B.
Maria Ricossa
Maria Ricossa is a Canadian actress known for her work in film, television, and theatre.
-
C.
Susanna Fontanarossa
Susanna Fontanarossa was an Italian woman from Liguria best known as the mother of the explorer Bartholomew Columbus and his more famous brother Christopher Columbus.
-
D.
Marisa Polvino
Marisa Polvino is a film producer known for her work on major feature films, including the 2014 science fiction movie "Transcendence."
-
E.
Laura Martinozzi
Laura Martinozzi was an Italian noblewoman and duchess of Modena, a niece of Cardinal Mazarin and a politically influential figure in 17th-century Italy.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c87067b98081908439af85623a97ea |
completed | March 29, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69c87472b5b881908c4b3856697f0f8c |
completed | March 29, 2026, 12:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c874d2ce6c8190a035e117dc881efd |
completed | March 29, 2026, 12:39 a.m. |
Created at: March 27, 2026, 3:13 p.m.