Triple
T9970281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take This Waltz |
E196184
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Margot
Margot is the introspective, conflicted protagonist of the Canadian romantic drama film "Take This Waltz," whose emotional journey explores the complexities of love, desire, and long-term relationships.
|
E835733
|
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: Margot | Statement: [Take This Waltz, mainCharacter, Margot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margot Context triple: [Take This Waltz, mainCharacter, Margot]
-
A.
Margot
Margot is a feminine given name of French origin, often associated with Margot Frank, the elder sister of diarist Anne Frank.
-
B.
Margot Wendice
Margot Wendice is the wealthy wife targeted in her husband's elaborate murder plot in Alfred Hitchcock's thriller "Dial M for Murder."
-
C.
Margot Verger
Margot Verger is a character in Thomas Harris's Hannibal universe, depicted as the abused, bodybuilding sister of sadistic millionaire Mason Verger.
-
D.
Mélanie
Mélanie is a feminine given name of French origin commonly used in French-speaking countries.
-
E.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
- 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: Margot Triple: [Take This Waltz, mainCharacter, Margot]
Generated description
Margot is the introspective, conflicted protagonist of the Canadian romantic drama film "Take This Waltz," whose emotional journey explores the complexities of love, desire, and long-term relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margot Target entity description: Margot is the introspective, conflicted protagonist of the Canadian romantic drama film "Take This Waltz," whose emotional journey explores the complexities of love, desire, and long-term relationships.
-
A.
Margot
Margot is a feminine given name of French origin, often associated with Margot Frank, the elder sister of diarist Anne Frank.
-
B.
Margot Wendice
Margot Wendice is the wealthy wife targeted in her husband's elaborate murder plot in Alfred Hitchcock's thriller "Dial M for Murder."
-
C.
Margot Verger
Margot Verger is a character in Thomas Harris's Hannibal universe, depicted as the abused, bodybuilding sister of sadistic millionaire Mason Verger.
-
D.
Mélanie
Mélanie is a feminine given name of French origin commonly used in French-speaking countries.
-
E.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b7ea9881908a56f11e2e446dd0 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269fc0d20819082bfe0331972e2b6 |
completed | April 5, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c0c9ee88190867f8531e9ffbf27 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:48 p.m.