Triple

T10840601
Position Surface form Disambiguated ID Type / Status
Subject Tracee Ellis Ross E255873 entity
Predicate notableWork P4 FINISHED
Object Mixed-ish E779006 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: Mixed-ish | Statement: [Tracee Ellis Ross, notableWork, Mixed-ish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mixed-ish
Context triple: [Tracee Ellis Ross, notableWork, Mixed-ish]
  • A. Mixed-ish chosen
    Mixed-ish is an American sitcom that serves as a prequel to Black-ish, following Rainbow Johnson’s biracial upbringing in the 1980s as her family adjusts from a hippie commune to suburban life.
  • B. Mixed Bag
    "Mixed Bag" is the 1966 debut album by American folk singer-songwriter Richie Havens, blending folk, jazz, and blues influences and helping establish his distinctive rhythmic guitar style and soulful vocals.
  • C. Mixed Emotions
    "Mixed Emotions" is a 1989 rock song by The Rolling Stones, known as a late-career hit that marked a renewed creative and commercial upswing for the band.
  • D. Mix
    Mix is a content discovery and curation platform that evolved from StumbleUpon, allowing users to collect, organize, and share web content based on their interests.
  • E. MIX
    MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7470204548190ba0c724dd9367712 completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb146f04881909f5636e7d0c20b77 completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.