Triple
T11859722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legally Blonde (Broadway musical) |
E282128
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Margot |
E300320
|
NE FINISHED |
How this triple was built (2 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: [Legally Blonde (Broadway musical), featuresCharacter, Margot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margot Context triple: [Legally Blonde (Broadway musical), featuresCharacter, Margot]
-
A.
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.
-
B.
Margot
chosen
Margot is a feminine given name of French origin, often associated with Margot Frank, the elder sister of diarist Anne Frank.
-
C.
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."
-
D.
Margot Verger
Margot Verger is a character in Thomas Harris's Hannibal universe, depicted as the abused, bodybuilding sister of sadistic millionaire Mason Verger.
-
E.
Mélanie
Mélanie is a feminine given name of French origin commonly used in French-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69a099c8190a674db64c50eca5a |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417a954e881909fdd9626d41229e2 |
completed | May 1, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:43 p.m.