Triple
T11049487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everything Is Illuminated |
E261208
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Laryssa Lauret
Laryssa Lauret was a Ukrainian-American actress known for her work in film, television, and theater, including a role in the 2005 film "Everything Is Illuminated."
|
E901268
|
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: Laryssa Lauret | Statement: [Everything Is Illuminated, starring, Laryssa Lauret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laryssa Lauret Context triple: [Everything Is Illuminated, starring, Laryssa Lauret]
-
A.
Tatiana Lappa
Tatiana Lappa was the first wife of Russian writer Mikhail Bulgakov, known primarily through biographical accounts of his early life and career.
-
B.
Larissa Marie
Larissa Marie is the daughter of German pop singer Nena, a prominent figure in 1980s Neue Deutsche Welle music.
-
C.
Alexandra Seros
Alexandra Seros is a screenwriter best known for her work on action and thriller films in Hollywood.
-
D.
Laura Laurent
Laura Laurent is a song by the American indie rock band Bright Eyes from their album "Lifted or The Story Is in the Soil, Keep Your Ear to the Ground."
-
E.
Lara Breay
Lara Breay is a film producer best known for her work on the animated superhero comedy "Megamind."
- 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: Laryssa Lauret Triple: [Everything Is Illuminated, starring, Laryssa Lauret]
Generated description
Laryssa Lauret was a Ukrainian-American actress known for her work in film, television, and theater, including a role in the 2005 film "Everything Is Illuminated."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laryssa Lauret Target entity description: Laryssa Lauret was a Ukrainian-American actress known for her work in film, television, and theater, including a role in the 2005 film "Everything Is Illuminated."
-
A.
Tatiana Lappa
Tatiana Lappa was the first wife of Russian writer Mikhail Bulgakov, known primarily through biographical accounts of his early life and career.
-
B.
Larissa Marie
Larissa Marie is the daughter of German pop singer Nena, a prominent figure in 1980s Neue Deutsche Welle music.
-
C.
Alexandra Seros
Alexandra Seros is a screenwriter best known for her work on action and thriller films in Hollywood.
-
D.
Laura Laurent
Laura Laurent is a song by the American indie rock band Bright Eyes from their album "Lifted or The Story Is in the Soil, Keep Your Ear to the Ground."
-
E.
Lara Breay
Lara Breay is a film producer best known for her work on the animated superhero comedy "Megamind."
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa06bae08190a0db615a258ded29 |
completed | April 18, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69e3ad0379888190b2f56d36d79bf97d |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b206c7a4819087eb06faa6e1af21 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:26 p.m.