Triple

T9099112
Position Surface form Disambiguated ID Type / Status
Subject Star Trek: Voyager E218104 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: [Star Trek: Voyager, portrayedBy, Jennifer Lien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Lien
Context triple: [Star Trek: Voyager, 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. 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.
  • C. 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.
  • D. Connie Chung
    Connie Chung is an American broadcast journalist and television news anchor known for her work on major U.S. networks and high-profile interviews.
  • E. Vivian Lee
    Vivian Lee is a prominent architect and key leader at the internationally renowned firm Richard Meier & Partners Architects.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9710ac04819096b9c8d3399b9c35 completed April 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01824ee2081909cc5e6ae33fab2e5 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.