Triple
T15815837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilie Livingston |
E383474
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Emilie |
E199346
|
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: Emilie | Statement: [Emilie Livingston, givenName, Emilie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emilie Context triple: [Emilie Livingston, givenName, Emilie]
-
A.
Emilie
chosen
Emilie is a young French girl in Michael Morpurgo’s novel and its film adaptation "War Horse," who befriends and cares for the horses Joey and Topthorn during World War I.
-
B.
Émilie
Émilie is the given name of Gabrielle Émilie Le Tonnelier de Breteuil, marquise du Châtelet, an 18th-century French mathematician, physicist, and translator of Newton.
-
C.
Émilie
Émilie is the given first name of the French-born American actress Claudette Colbert, a major Hollywood star of the 1930s and 1940s.
-
D.
Emilie Le Domas
Emilie Le Domas is a supporting member of the wealthy, sinister Le Domas family in the 2019 horror-comedy film "Ready or Not," known for her erratic behavior and darkly comedic role in the deadly wedding-night ritual.
-
E.
Nathalie
Nathalie is a feminine given name of French origin commonly used in many European and 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a219508190b8588120ec415ac7 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13392c48190b03cbed9df5a32a6 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.