Triple

T13732852
Position Surface form Disambiguated ID Type / Status
Subject M.F.T.R. E329852 entity
Predicate producer P490 FINISHED
Object Sevn Thomas E1020175 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: Sevn Thomas | Statement: [M.F.T.R., producer, Sevn Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevn Thomas
Context triple: [M.F.T.R., producer, Sevn Thomas]
  • A. Sevn Thomas chosen
    Sevn Thomas is a Canadian record producer and songwriter known for his work on major hip-hop and R&B projects, including collaborations with artists like Drake.
  • B. Jay Thomas
    Jay Thomas was an American actor and comedian known for his roles on television series such as "Cheers" and "Murphy Brown," as well as in various films.
  • C. Dean Thomas
    Dean Thomas is a fictional Gryffindor student and member of Dumbledore's Army in J.K. Rowling's Harry Potter series.
  • D. Tony Thomas
    Tony Thomas is an Indian entrepreneur best known as a co-founder of the software company Zoho Corporation.
  • E. Tony Thomas
    Tony Thomas is an American television and film producer best known for co-founding Witt/Thomas Productions and producing popular sitcoms such as "The Golden Girls."
  • 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_69de0201d3c48190aa306be231a28bc1 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b069ba5481909bb5724d2fb54bb1 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:55 p.m.