Triple

T19257232
Position Surface form Disambiguated ID Type / Status
Subject Blow by Blow E481546 entity
Predicate featuredMusician P20942 FINISHED
Object Phil Chen NE NERFINISHED

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: Phil Chen | Statement: [Blow by Blow, featuredMusician, Phil Chen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Chen
Context triple: [Blow by Blow, featuredMusician, Phil Chen]
  • A. Phil Chen chosen
    Phil Chen was a renowned Jamaican bassist best known for his work with artists like Rod Stewart and Jeff Beck, as well as numerous influential rock and pop recordings.
  • B. Alfred Sung
    Alfred Sung is a Canadian fashion designer known for his elegant, minimalist aesthetic and for co-founding the Club Monaco clothing brand.
  • C. Blackie Chen
    Blackie Chen is a Taiwanese television host, actor, and former basketball player who is also known for his role in developing professional basketball in Taiwan.
  • D. Don Lee
    Don Lee was a prominent early 20th-century American broadcasting pioneer and automobile dealer whose influence in Los Angeles led to Mount Lee being named in his honor.
  • E. Don Lee
    Don Lee, also known by his Korean name Ma Dong-seok, is a South Korean-American actor renowned for his tough, charismatic roles in action and thriller films such as "Train to Busan" and various Korean crime dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb862f848190977987e0327ce41d completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.