Triple
T18465559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margueritte |
E451148
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Marguerite |
E110139
|
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: Marguerite | Statement: [Margueritte, relatedTo, Marguerite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marguerite Context triple: [Margueritte, relatedTo, Marguerite]
-
A.
Marguerite
Marguerite is a 2015 French comedy-drama film directed by Xavier Giannoli, loosely inspired by the life of amateur opera singer Florence Foster Jenkins.
-
B.
Marguerite
Marguerite is the loving wife of protagonist Eddie in Mitch Albom’s novel "The Five People You Meet in Heaven," symbolizing enduring love and emotional redemption.
-
C.
Marguerite
chosen
Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
-
D.
Marguerite
Marguerite is a talented French sous-chef in the film "The Hundred-Foot Journey," who helps bridge cultural divides through her passion for cuisine and mentorship of the young protagonist.
-
E.
Marguerite De La Motte
Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a83a27c8190aafb82f615c2dd72 |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f24ff448190b1b54ff5209a7b01 |
completed | May 13, 2026, 9:06 a.m. |
Created at: April 10, 2026, 11:34 a.m.