Triple
T6950837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Meesseman |
E160916
|
entity |
| Predicate | surname |
P18
|
FINISHED |
| Object | Meesseman |
E160916
|
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: Meesseman | Statement: [Emma Meesseman, surname, Meesseman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meesseman Context triple: [Emma Meesseman, surname, Meesseman]
-
A.
Meesseman
chosen
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
-
B.
Weyts
Weyts is a Dutch-language surname of Belgian origin, notably borne by Flemish politician Ben Weyts.
-
C.
Le Clercq
Le Clercq is the surname of Tanaquil Le Clercq, the renowned mid-20th-century American ballerina associated with the New York City Ballet.
-
D.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
E.
Tserclaes
Tserclaes is the noble family name of Johann Tserclaes, Count of Tilly, a prominent general of the Catholic League during the early stages of the Thirty Years' War.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daaeb66c8190a62b32a2c22f166a |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7618876948190abda9cb234bbe225 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:29 p.m.