Triple
T11236449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hana Magimel |
E265952
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object |
Magimel
Magimel is a French surname most notably associated with individuals in the arts, such as actors and writers.
|
E913228
|
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: Magimel | Statement: [Hana Magimel, hasSurname, Magimel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magimel Context triple: [Hana Magimel, hasSurname, Magimel]
-
A.
Rotomagus
Rotomagus was an important ancient Roman city in the province of Gallia Lugdunensis, located at the site of modern-day Rouen in northern France.
-
B.
Gamelia
Gamelia is an epithet associated with the Greek goddess Hera, emphasizing her role as protector of marriage and weddings.
-
C.
Magique
Magique is the star-shaped, elf-like mascot created to represent the 1992 Winter Olympics in Albertville, France.
-
D.
Magi
The Magi are the wise men or kings from the East in the New Testament who visit the infant Jesus, traditionally bearing gifts of gold, frankincense, and myrrh.
-
E.
Magical Harp
Magical Harp is an interactive light and sound installation by artist Jen Lewin that invites participants to trigger musical notes and illuminated patterns by moving through a large, harp-shaped environment.
- 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: Magimel Triple: [Hana Magimel, hasSurname, Magimel]
Generated description
Magimel is a French surname most notably associated with individuals in the arts, such as actors and writers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magimel Target entity description: Magimel is a French surname most notably associated with individuals in the arts, such as actors and writers.
-
A.
Rotomagus
Rotomagus was an important ancient Roman city in the province of Gallia Lugdunensis, located at the site of modern-day Rouen in northern France.
-
B.
Gamelia
Gamelia is an epithet associated with the Greek goddess Hera, emphasizing her role as protector of marriage and weddings.
-
C.
Magique
Magique is the star-shaped, elf-like mascot created to represent the 1992 Winter Olympics in Albertville, France.
-
D.
Magi
The Magi are the wise men or kings from the East in the New Testament who visit the infant Jesus, traditionally bearing gifts of gold, frankincense, and myrrh.
-
E.
Magical Harp
Magical Harp is an interactive light and sound installation by artist Jen Lewin that invites participants to trigger musical notes and illuminated patterns by moving through a large, harp-shaped environment.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad6308f8819085652d6c529ac821 |
completed | April 19, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69e4b12dd658819085c25d3edac2d66c |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b3e05b488190bf2e3810ba2f250e |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 8, 2026, 9:30 p.m.