Triple

T9936984
Position Surface form Disambiguated ID Type / Status
Subject Maleficent E193983 entity
Predicate producer P490 FINISHED
Object Joe Roth E135321 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: Joe Roth | Statement: [Maleficent, producer, Joe Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Roth
Context triple: [Maleficent, producer, Joe Roth]
  • A. Joe Roth chosen
    Joe Roth is an American film producer and studio executive who became a prominent sports figure as the lead investor and former majority owner of Major League Soccer’s Seattle Sounders FC.
  • B. Stan Lathan
    Stan Lathan is an American television and film director and producer known for his influential work in comedy and urban-themed programming, including directing numerous specials for comedians like Dave Chappelle.
  • C. Steve Dorff
    Steve Dorff is an American songwriter and composer known for his prolific work in country and pop music, including numerous hits for major recording artists and film and television scores.
  • D. Stephen Frank
    Stephen Frank was an early American pioneer after whom the city of Frankfort, Kentucky, is named.
  • E. Kevin Sussman
    Kevin Sussman is an American actor and comedian best known for his role as Stuart Bloom on the television series "The Big Bang Theory."
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228e7247c81908dbba76199f2e93f completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:44 p.m.