Triple

T19880102
Position Surface form Disambiguated ID Type / Status
Subject The 5th Wave E477746 entity
Predicate screenwriter P2831 FINISHED
Object Jeff Pinkner 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: Jeff Pinkner | Statement: [The 5th Wave, screenwriter, Jeff Pinkner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Pinkner
Context triple: [The 5th Wave, screenwriter, Jeff Pinkner]
  • A. Jeff Pinkner chosen
    Jeff Pinkner is an American television writer and producer known for his work on series such as "Fringe," "Alias," and "Lost."
  • B. Jonathan Stern
    Jonathan Stern is an American film and television producer best known for his work on offbeat comedies such as "Wet Hot American Summer" and various projects for Adult Swim and streaming platforms.
  • C. Scott Pinsker
    Scott Pinsker is an American author, filmmaker, and media commentator known for his work on politics, branding, and culture.
  • D. Dan Bucatinsky
    Dan Bucatinsky is an American actor, writer, and producer best known for his Emmy-winning role on "Scandal" and his work in television comedy and drama.
  • E. Mark Pinsker
    Mark Pinsker is a mathematician best known for his contributions to information theory, particularly the development of Pinsker's inequality.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658de4b288190a41bee67f570be1e completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.