Triple

T22670547
Position Surface form Disambiguated ID Type / Status
Subject Vivid E559905 entity
Predicate hasPart P35 FINISHED
Object Middle Man 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: Middle Man | Statement: [Vivid, hasPart, Middle Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middle Man
Context triple: [Vivid, hasPart, Middle Man]
  • A. Middle Man chosen
    Middle Man is a 1980 studio album by American singer-songwriter Boz Scaggs that blends blue-eyed soul, rock, and pop.
  • B. Man in the Middle
    "Man in the Middle" is a track featured as the B-side to SOS, likely within the pop music genre.
  • C. Side Man
    Side Man is a Tony Award–winning Broadway play by Warren Leight that portrays the turbulent lives of jazz musicians and their families across several decades.
  • D. Middle Men
    Middle Men is a 2009 crime drama film about the early days of online billing and the adult entertainment industry, starring Luke Wilson, Giovanni Ribisi, and Jacinda Barrett.
  • E. A Man
    "A Man" is a song by Alanis Morissette from her 2002 album *Under Rug Swept*, reflecting her characteristic introspective and emotionally charged songwriting style.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781f946c8190add74a7dac2b1819 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.