Triple

T16316561
Position Surface form Disambiguated ID Type / Status
Subject Tina Cohen-Chang E396185 entity
Predicate closeFriendOf P8712 FINISHED
Object Mike Chang E1172424 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: Mike Chang | Statement: [Tina Cohen-Chang, closeFriendOf, Mike Chang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Chang
Context triple: [Tina Cohen-Chang, closeFriendOf, Mike Chang]
  • A. Mike Chang chosen
    Mike Chang is a fictional high school student and talented dancer from the television series "Glee."
  • B. Ben Chang
    Ben Chang is a chaotic and eccentric Spanish teacher-turned-student from the TV sitcom "Community," known for his unpredictable behavior and over-the-top antics.
  • C. Steve Chang
    Steve Chang is a Taiwanese entrepreneur best known for co-founding and leading the cybersecurity company Trend Micro.
  • D. Winston Chang
    Winston Chang is a Taiwanese-American lawyer and academic, known as a son of former Republic of China President Chiang Ching-kuo and for his work in legal education in the United States.
  • E. Timmy Chang
    Timmy Chang is a former record-setting University of Hawaiʻi quarterback and current college football coach.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b1e9988190a1dce9f1ed7031df completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da444408190b770055d84060f4d completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.