Triple

T17961660
Position Surface form Disambiguated ID Type / Status
Subject Dr. Kananga E449097 entity
Predicate createdBy P806 FINISHED
Object Tom Mankiewicz 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: Tom Mankiewicz | Statement: [Dr. Kananga, createdBy, Tom Mankiewicz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Mankiewicz
Context triple: [Dr. Kananga, createdBy, Tom Mankiewicz]
  • A. Tom Mankiewicz chosen
    Tom Mankiewicz was an American screenwriter, director, and producer best known for his work on several James Bond films and the script for the 1978 film "Superman."
  • B. John Mankiewicz
    John Mankiewicz is an American television writer and producer known for his work on series such as House, House of Cards, and Bosch.
  • C. Frank Mankiewicz
    Frank Mankiewicz was an American journalist, political strategist, and public relations executive best known for his prominent roles in Democratic politics and media, including serving as president of National Public Radio.
  • D. Josh Mankiewicz
    Josh Mankiewicz is an American journalist best known as a longtime correspondent for NBC's newsmagazine program "Dateline NBC."
  • E. Herman J. Mankiewicz
    Herman J. Mankiewicz was an American screenwriter and wit best known for co-writing the landmark film "Citizen Kane" and for his influential work in Hollywood’s Golden Age.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b132cc10819088526a0b4b098d69 completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.