Triple

T15974706
Position Surface form Disambiguated ID Type / Status
Subject Jean Liu E387414 entity
Predicate name P16 FINISHED
Object Jean Liu E387414 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: Jean Liu | Statement: [Jean Liu, name, Jean Liu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Liu
Context triple: [Jean Liu, name, Jean Liu]
  • A. Jean Liu chosen
    Jean Liu is a prominent Chinese business executive and technology entrepreneur best known for her leadership role in ride-hailing giant Didi Chuxing.
  • B. Eugenia Yuan
    Eugenia Yuan is a Hong Kong–born American actress and former rhythmic gymnast known for her roles in international martial arts and drama films.
  • C. Jennifer Lien
    Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
  • D. Jen Yu
    Jen Yu is a rebellious and highly skilled young noblewoman-turned-warrior from the film "Crouching Tiger, Hidden Dragon," whose secret mastery of martial arts drives much of the story’s conflict.
  • E. Lori Huang
    Lori Huang is the wife of NVIDIA co-founder and CEO Jensen Huang and is known for her low public profile despite her connection to the prominent tech executive.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572c216c81908f2070d2a87609c2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c76c988190a2f2bb4b6ac5ef25 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.