Triple
T20153503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucie Aubrac |
E491495
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lucie |
—
|
NE NERFINISHED |
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: Lucie | Statement: [Lucie Aubrac, givenName, Lucie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucie Context triple: [Lucie Aubrac, givenName, Lucie]
-
A.
Lucie
Lucie is a little girl in Beatrix Potter’s children’s story "The Tale of Mrs. Tiggy-Winkle," known for visiting the hedgehog washerwoman in a whimsical countryside adventure.
-
B.
Lucie
Lucie is the first name of Lucie Arnaz, an American actress, singer, and producer and the daughter of Lucille Ball and Desi Arnaz.
-
C.
Lucie
chosen
Lucie is a feminine given name of Latin origin, derived from "lux" meaning "light," and is widely used in French-speaking countries and beyond.
-
D.
Lucie Miller
Lucie Miller is a companion of the Eighth Doctor in the Doctor Who audio dramas, known for her sharp wit, modern attitude, and central role in several major story arcs.
-
E.
Lucie de Mirecourt
Lucie de Mirecourt is a character in the 1935 French film "Princesse Tam-Tam," which stars Josephine Baker.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667de9bec8190836887c86dbcf28d |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.