Triple
T13848661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mena Suvari |
E332875
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Suvari
Suvari is the surname of American actress and model Mena Suvari, known for her roles in films like "American Beauty" and the "American Pie" series.
|
E1065764
|
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: Suvari | Statement: [Mena Suvari, familyName, Suvari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suvari Context triple: [Mena Suvari, familyName, Suvari]
-
A.
Theron
Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
-
B.
Duron
Duron is a budget line of x86-compatible microprocessors developed by AMD as a cost-effective alternative to its Athlon series.
-
C.
Theron Warth
Theron Warth was a film editor known for his work on mid-20th-century American cinema.
-
D.
Ellenor Frutt
Ellenor Frutt is a central defense attorney character on the legal drama series "The Practice," known for her passionate advocacy and moral complexity.
-
E.
Stellan Rye
Stellan Rye was a Danish film director and screenwriter best known as an early pioneer of German Expressionist cinema, particularly for co-directing the influential 1913 film "The Student of Prague."
- 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: Suvari Triple: [Mena Suvari, familyName, Suvari]
Generated description
Suvari is the surname of American actress and model Mena Suvari, known for her roles in films like "American Beauty" and the "American Pie" series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suvari Target entity description: Suvari is the surname of American actress and model Mena Suvari, known for her roles in films like "American Beauty" and the "American Pie" series.
-
A.
Theron
Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
-
B.
Duron
Duron is a budget line of x86-compatible microprocessors developed by AMD as a cost-effective alternative to its Athlon series.
-
C.
Theron Warth
Theron Warth was a film editor known for his work on mid-20th-century American cinema.
-
D.
Ellenor Frutt
Ellenor Frutt is a central defense attorney character on the legal drama series "The Practice," known for her passionate advocacy and moral complexity.
-
E.
Stellan Rye
Stellan Rye was a Danish film director and screenwriter best known as an early pioneer of German Expressionist cinema, particularly for co-directing the influential 1913 film "The Student of Prague."
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f35ba48190b8b071679251233f |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c23410dc8190972245cecfa85871 |
completed | May 3, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3031a0c8190ad30d59fe1f2322e |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:14 p.m.