Triple

T13735056
Position Surface form Disambiguated ID Type / Status
Subject Gayngs E329917 entity
Predicate hasMember P10 FINISHED
Object Michael Brown E329917 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: Michael Brown | Statement: [Gayngs, hasMember, Michael Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Brown
Context triple: [Gayngs, hasMember, Michael Brown]
  • A. Michael Brown
    Michael Brown is a film and television editor known for his work on the biographical miniseries "Life with Judy Garland: Me and My Shadows."
  • B. Michael Brown
    Michael Brown is an American actor better known professionally as Michael Ealy, recognized for his roles in films like "Barbershop" and "Think Like a Man" and the TV series "Almost Human."
  • C. Michael Brown
    Michael Brown is an American songwriter and keyboardist best known as a founding member of the baroque pop band The Left Banke and writer of several of its hit songs.
  • D. Michael Brown chosen
    Michael Brown is a musician best known as a member of the indie supergroup Gayngs.
  • E. Travon Potts
    Travon Potts is an American songwriter and producer known for his work in R&B and pop music, contributing to songs for artists such as Monica and Christina Aguilera.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de020351fc8190a554a48c552e83b5 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a84dbdc48190a4724bb9c3523b25 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.