Triple
T13191076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mélanie Laurent |
E313986
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mélanie |
E782949
|
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: Mélanie | Statement: [Mélanie Laurent, givenName, Mélanie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mélanie Context triple: [Mélanie Laurent, givenName, Mélanie]
-
A.
Mélanie
chosen
Mélanie is a feminine given name of French origin commonly used in French-speaking countries.
-
B.
Léa
Léa is a French feminine given name commonly used in Francophone countries.
-
C.
Stéphanie
Stéphanie is a Monegasque princess, singer, and fashion designer, best known as the youngest child of Prince Rainier III and Grace Kelly.
-
D.
Amelie Bourne
Amelie Bourne is the daughter of English singer and former S Club 7 member Rachel Stevens.
-
E.
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.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c600ab48190bcf84aaf5846fb4b |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a2e415481908ad1036376f702dc |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:15 p.m.