Triple
T15815836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilie Livingston |
E383474
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Emilie Livingston |
E383474
|
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 Livingston | Statement: [Emilie Livingston, name, Emilie Livingston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emilie Livingston Context triple: [Emilie Livingston, name, Emilie Livingston]
-
A.
Emilie Livingston
chosen
Emilie Livingston is a Canadian former Olympic rhythmic gymnast and dancer who later became known for her work as a contortionist and aerialist in film and live performances.
-
B.
Emilie Levisetti
Emilie Levisetti is a television producer best known for her work as an executive producer on the dark comedy series "Santa Clarita Diet."
-
C.
Emily St. Aubert
Emily St. Aubert is the virtuous, sensitive young heroine of Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho," known for her resilience amid terror, loss, and romantic trials.
-
D.
Katherine Emmet
Katherine Emmet was an American stage and silent film actress active in the early 20th century.
-
E.
Amelia Warren
Amelia Warren is a flight attendant and the romantic interest of Viktor Navorski in the film "The Terminal."
- 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_69ff99959f048190ae24a072387ec233 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.