Triple
T19453551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grandma (2015 film) |
E486677
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Danièle Melia
Danièle Melia is a film producer known for her work on the 2015 comedy-drama "Grandma."
|
E1382140
|
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: Danièle Melia | Statement: [Grandma (2015 film), producer, Danièle Melia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danièle Melia Context triple: [Grandma (2015 film), producer, Danièle Melia]
-
A.
Annette Roque
Annette Roque is a Dutch former model and equestrian who gained public attention as the ex-wife of American television journalist Matt Lauer.
-
B.
Mireille Soria
Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
-
C.
Yvonne Monlaur
Yvonne Monlaur was a French actress best known for her roles in 1960s Hammer horror films.
-
D.
Carine Reggiani
Carine Reggiani is known primarily as the daughter of renowned Italian-French actor and singer Serge Reggiani.
-
E.
Denise Baudu
Denise Baudu is the young, determined saleswoman who serves as the central heroine of Émile Zola’s novel "Au Bonheur des Dames," embodying both the struggles and aspirations of women in the rise of the modern department store.
- 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: Danièle Melia Triple: [Grandma (2015 film), producer, Danièle Melia]
Generated description
Danièle Melia is a film producer known for her work on the 2015 comedy-drama "Grandma."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danièle Melia Target entity description: Danièle Melia is a film producer known for her work on the 2015 comedy-drama "Grandma."
-
A.
Annette Roque
Annette Roque is a Dutch former model and equestrian who gained public attention as the ex-wife of American television journalist Matt Lauer.
-
B.
Mireille Soria
Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
-
C.
Yvonne Monlaur
Yvonne Monlaur was a French actress best known for her roles in 1960s Hammer horror films.
-
D.
Carine Reggiani
Carine Reggiani is known primarily as the daughter of renowned Italian-French actor and singer Serge Reggiani.
-
E.
Denise Baudu
Denise Baudu is the young, determined saleswoman who serves as the central heroine of Émile Zola’s novel "Au Bonheur des Dames," embodying both the struggles and aspirations of women in the rise of the modern department store.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e693c7c8190b7c524bc31898379 |
completed | May 15, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_6a074ffa3da48190badea6039822ddd6 |
completed | May 15, 2026, 4:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0750cfe42481909bf83cc488bcbae8 |
completed | May 15, 2026, 4:58 p.m. |
Created at: April 10, 2026, 1:38 p.m.