Triple

T5333742
Position Surface form Disambiguated ID Type / Status
Subject Gene Page E123372 entity
Predicate workedWith P398 FINISHED
Object Johnny Mathis E348978 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: Johnny Mathis | Statement: [Gene Page, workedWith, Johnny Mathis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Mathis
Context triple: [Gene Page, workedWith, Johnny Mathis]
  • A. Johnny Mathis chosen
    Johnny Mathis is an American pop and easy-listening singer known for his smooth, romantic ballads and a career spanning several decades.
  • B. Ray Conniff
    Ray Conniff was an American bandleader, arranger, and trombonist best known for his easy-listening orchestral and choral recordings that gained wide popularity in the mid-20th century.
  • C. Mark Murphy
    Mark Murphy is an American sports executive and former NFL safety who serves as the president and CEO of the Green Bay Packers.
  • D. Bobby Caldwell
    Bobby Caldwell was an American singer, songwriter, and multi-instrumentalist best known for his smooth blend of R&B, soul, and jazz, particularly the classic hit "What You Won't Do for Love."
  • E. Andy Williams
    Andy Williams was an American pop singer and television host renowned for his smooth voice and classic renditions of popular standards and Christmas songs.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ae52c08190968a5567b7e6b794 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18baeca081909acc11d0c6c89f6d completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.