Triple
T13434682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Die For |
E320198
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Lydia Mertz
Lydia Mertz is a supporting character in the darkly comedic crime film "To Die For," which satirizes media obsession and ambition.
|
E1041650
|
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: Lydia Mertz | Statement: [To Die For, hasCharacter, Lydia Mertz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lydia Mertz Context triple: [To Die For, hasCharacter, Lydia Mertz]
-
A.
Marietta Lutze
Marietta Lutze was the wife of American psychiatrist, art collector, and philanthropist Arthur M. Sackler.
-
B.
Marie Meyer
Marie Meyer was the wife of the prominent German historian Eduard Meyer.
-
C.
Helene Kraus
Helene Kraus was the wife of renowned German-American film director Ernst Lubitsch.
-
D.
Hermine Andermann
Hermine Andermann was the mother of Austrian-American mathematician Karl Menger.
-
E.
Agnes Ernst Meyer
Agnes Ernst Meyer was an American journalist, philanthropist, and influential social reform advocate who played a significant role in education and civil rights debates in the mid-20th century.
- 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: Lydia Mertz Triple: [To Die For, hasCharacter, Lydia Mertz]
Generated description
Lydia Mertz is a supporting character in the darkly comedic crime film "To Die For," which satirizes media obsession and ambition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lydia Mertz Target entity description: Lydia Mertz is a supporting character in the darkly comedic crime film "To Die For," which satirizes media obsession and ambition.
-
A.
Marietta Lutze
Marietta Lutze was the wife of American psychiatrist, art collector, and philanthropist Arthur M. Sackler.
-
B.
Marie Meyer
Marie Meyer was the wife of the prominent German historian Eduard Meyer.
-
C.
Helene Kraus
Helene Kraus was the wife of renowned German-American film director Ernst Lubitsch.
-
D.
Hermine Andermann
Hermine Andermann was the mother of Austrian-American mathematician Karl Menger.
-
E.
Agnes Ernst Meyer
Agnes Ernst Meyer was an American journalist, philanthropist, and influential social reform advocate who played a significant role in education and civil rights debates in the mid-20th century.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739902d148190ac14ac66f1f9512f |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73d6051e48190a39e8de98bfb839a |
completed | May 3, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7411fbb9481908f0106b01f2583bf |
completed | May 3, 2026, 12:35 p.m. |
Created at: April 9, 2026, 9:40 p.m.