Triple

T9436183
Position Surface form Disambiguated ID Type / Status
Subject Jim Brass E227512 entity
Predicate worksWith P398 FINISHED
Object Gil Grissom E197708 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: Gil Grissom | Statement: [Jim Brass, worksWith, Gil Grissom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gil Grissom
Context triple: [Jim Brass, worksWith, Gil Grissom]
  • A. Gil Grissom chosen
    Gil Grissom is a brilliant, methodical forensic entomologist and crime scene investigator who leads the Las Vegas CSI team in the television series "CSI: Crime Scene Investigation."
  • B. Harlan Dexter
    Harlan Dexter is a wealthy, morally corrupt former actor turned powerful businessman who serves as a central antagonist in the darkly comedic neo-noir film "Kiss Kiss Bang Bang."
  • C. Greg Grissom
    Greg Grissom is a sports executive who serves as the president of the NFL’s Houston Texans franchise.
  • D. Clovis Cole
    Clovis Cole was a prominent 19th-century wheat farmer and landowner in California whose holdings and influence in the region led to the nearby city of Clovis being named in his honor.
  • E. Sara Sidle
    Sara Sidle is a forensic scientist and key member of the Las Vegas crime lab team in the television series "CSI: Crime Scene Investigation."
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7ede1e148190b5793863a851c92c completed April 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104ed8d081909acb08b13cf35555 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.