Triple

T14830637
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Lien E348691 entity
Predicate name P16 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: [Jennifer Lien, name, Jennifer Lien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Lien
Context triple: [Jennifer Lien, name, 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0748eec8190a39c94024c3a3e3e completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fc8cdc8190a142a2a3ef889e72 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:51 a.m.