Triple
T14456140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thérèse Desqueyroux (2012 film) |
E358463
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Natalie Carter
Natalie Carter is a French screenwriter known for adapting literary works for film, including the 2012 adaptation of François Mauriac’s novel "Thérèse Desqueyroux."
|
E1114560
|
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: Natalie Carter | Statement: [Thérèse Desqueyroux (2012 film), screenwriter, Natalie Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalie Carter Context triple: [Thérèse Desqueyroux (2012 film), screenwriter, Natalie Carter]
-
A.
Natalie Kingston
Natalie Kingston was an American film actress of the silent and early sound era, known for her roles in dramas and adventure films of the late 1920s.
-
B.
Natalie James
Natalie James is a fictional character portrayed by actress Lili Simmons.
-
C.
Natalie Evans
Natalie Evans was the wife of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
-
D.
Natalie Stewart
Natalie Stewart is a British singer, songwriter, and poet best known as one half of the R&B/neo-soul duo Floetry.
-
E.
Natalie Brown
Natalie Brown is the younger sister of Louise Brown, the world's first baby conceived via in vitro fertilization.
- 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: Natalie Carter Triple: [Thérèse Desqueyroux (2012 film), screenwriter, Natalie Carter]
Generated description
Natalie Carter is a French screenwriter known for adapting literary works for film, including the 2012 adaptation of François Mauriac’s novel "Thérèse Desqueyroux."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natalie Carter Target entity description: Natalie Carter is a French screenwriter known for adapting literary works for film, including the 2012 adaptation of François Mauriac’s novel "Thérèse Desqueyroux."
-
A.
Natalie Kingston
Natalie Kingston was an American film actress of the silent and early sound era, known for her roles in dramas and adventure films of the late 1920s.
-
B.
Natalie James
Natalie James is a fictional character portrayed by actress Lili Simmons.
-
C.
Natalie Evans
Natalie Evans was the wife of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
-
D.
Natalie Stewart
Natalie Stewart is a British singer, songwriter, and poet best known as one half of the R&B/neo-soul duo Floetry.
-
E.
Natalie Brown
Natalie Brown is the younger sister of Louise Brown, the world's first baby conceived via in vitro fertilization.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde163c3488190aac5a8bd769d5564 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde752f4548190baa9ba04b5e7fc7e |
completed | May 8, 2026, 1:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde7dfbb4c8190a00f310b878ae151 |
completed | May 8, 2026, 1:40 p.m. |
Created at: April 10, 2026, 1:19 a.m.