Triple

T6954413
Position Surface form Disambiguated ID Type / Status
Subject Crisis E161205 entity
Predicate starring P1507 FINISHED
Object Lance Gross E387340 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: Lance Gross | Statement: [Crisis, starring, Lance Gross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lance Gross
Context triple: [Crisis, starring, Lance Gross]
  • A. Lance Gross chosen
    Lance Gross is an American actor best known for his roles in Tyler Perry’s films and television series, including the sitcom "House of Payne."
  • B. Chad Franscoviak
    Chad Franscoviak is an American recording engineer and producer best known for his longtime collaboration with John Mayer on several acclaimed albums.
  • C. Justin Marks
    Justin Marks is an American screenwriter best known for writing Disney's live-action adaptation of The Jungle Book (2016) and other film and television projects.
  • D. Mike Henry
    Mike Henry is an American actor, comedian, and writer best known for voicing characters such as Cleveland Brown on the animated television series Family Guy and its spin-off The Cleveland Show.
  • E. Joe Maross
    Joe Maross was an American character actor known for his numerous film and television roles from the 1950s through the 1980s, including appearances in classic series like "The Twilight Zone."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.