Triple

T8458907
Position Surface form Disambiguated ID Type / Status
Subject Gabriel Mann E199990 entity
Predicate name P16 FINISHED
Object Gabriel Mann E199990 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: Gabriel Mann | Statement: [Gabriel Mann, name, Gabriel Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabriel Mann
Context triple: [Gabriel Mann, name, Gabriel Mann]
  • A. Gabriel Mann
    Gabriel Mann is an American composer and musician best known for scoring television series such as "Modern Family" and "A Million Little Things."
  • B. Gabriel Mann chosen
    Gabriel Mann is an American actor best known for his role as tech genius Nolan Ross on the television drama series "Revenge."
  • C. David Daniel Kaminsky
    David Daniel Kaminsky, better known as Danny Kaye, was a celebrated American actor, comedian, singer, and dancer renowned for his energetic performances in mid-20th-century film and television.
  • D. Matthew Hannam
    Matthew Hannam is a Canadian film and television editor known for his work on acclaimed independent films and series.
  • E. Gabriel Rodríguez
    Gabriel Rodríguez is a Chilean comic book artist best known for illustrating the acclaimed horror-fantasy series "Locke & Key."
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49e036c8190abb50ca272266ca6 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dea01c481909496ebfca4e9916e completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.