Triple

T17026090
Position Surface form Disambiguated ID Type / Status
Subject Martial Law E413066 entity
Predicate starring P1507 FINISHED
Object Kelly Hu E457327 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: Kelly Hu | Statement: [Martial Law, starring, Kelly Hu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelly Hu
Context triple: [Martial Law, starring, Kelly Hu]
  • A. Kelly Hu chosen
    Kelly Hu is an American actress and former beauty queen known for her roles in films and television series such as "The Scorpion King," "X2: X-Men United," and various voice-acting projects.
  • B. Kelly Chan
    Kelly Chan is a Hong Kong Cantopop singer and actress known for her popularity in the late 1990s and 2000s.
  • C. Gui Lai
    Gui Lai is the Chinese title of the 2014 drama film "Coming Home," directed by Zhang Yimou and starring Gong Li, about a family torn apart and reunited during the aftermath of China's Cultural Revolution.
  • D. Katie Leung
    Katie Leung is a Scottish actress best known for playing Cho Chang in the Harry Potter film series.
  • E. Jennifer Lien
    Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d46a5081908bc5681621dd8534 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b53306081908972a0a5db474b6c completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.