Triple

T21958001
Position Surface form Disambiguated ID Type / Status
Subject Tina Lifford E542240 entity
Predicate notableWork P4 FINISHED
Object The Division NE NERFINISHED

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: The Division | Statement: [Tina Lifford, notableWork, The Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Division
Context triple: [Tina Lifford, notableWork, The Division]
  • A. The Division chosen
    The Division is an American television drama series that follows a team of female police inspectors in San Francisco as they navigate complex criminal cases and personal struggles.
  • B. Tom Clancy’s The Division
    Tom Clancy’s The Division is an online third-person shooter action role-playing game set in a pandemic-stricken New York City, known for its cooperative gameplay and persistent open world.
  • C. Tek Division
    Tek Division is a specialized unit within the Justice Department focused on technology-related operations and investigations.
  • D. Med Division
    Med Division is a specialized unit within the Justice Department that focuses on medical, health-related, or forensic medicine issues in the context of law enforcement and legal oversight.
  • E. H Division
    H Division was a real-life Metropolitan Police division based in Whitechapel, London, historically associated with the investigation of the Jack the Ripper murders.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1244108948190a08e6966e55c4acd completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 8 p.m.