Triple
T12901533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kes |
E308622
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Jennifer Lien |
E348691
|
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: Jennifer Lien | Statement: [Kes, portrayedBy, Jennifer Lien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Lien Context triple: [Kes, portrayedBy, Jennifer Lien]
-
A.
Jennifer Lien
chosen
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
-
B.
Chinsea Lee
Chinsea Lee is a Jamaican dancehall and reggae artist and songwriter, better known by her stage name Shenseea, recognized for her energetic performances and genre-blending hits.
-
C.
Lisa Ling
Lisa Ling is an American journalist, television presenter, and author known for her in-depth reporting and documentary work on social, cultural, and global issues.
-
D.
Lindsay Wu
Lindsay Wu is a biomedical scientist known for his research on aging and metabolism, particularly in the field of sirtuins and NAD⁺ biology.
-
E.
Melissa Chiu
Melissa Chiu is an Australian-born art historian and curator known for her leadership roles in major contemporary art institutions, including directing the Hirshhorn Museum and Sculpture Garden in Washington, D.C.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97180ee708190b60a3e58c42f764f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a56189b081909ed838addcb6d265 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.