Triple

T22102600
Position Surface form Disambiguated ID Type / Status
Subject The Door in the Floor E546206 entity
Predicate cinematographyBy P1953 FINISHED
Object Tami Reiker 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: Tami Reiker | Statement: [The Door in the Floor, cinematographyBy, Tami Reiker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tami Reiker
Context triple: [The Door in the Floor, cinematographyBy, Tami Reiker]
  • A. Tami Reiker chosen
    Tami Reiker is an American cinematographer known for her visually striking work on films and television, including the acclaimed drama "One Night in Miami..." and the series "Carnivàle."
  • B. Tami Fisher
    Tami Fisher is a former collegiate volleyball player who competed for the Stanford Cardinal women's volleyball program.
  • C. Lori Peters
    Lori Peters is an American drummer best known for her tenure with the Christian rock band Skillet.
  • D. Tina Krissman
    Tina Krissman is a fictional character featured as one of the central figures in the legal drama television series "For the People" (2018).
  • E. Tami Taylor
    Tami Taylor is a compassionate high school guidance counselor and the strong, morally grounded wife of coach Eric Taylor in the television series "Friday Night Lights."
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129163b908190b63ace06016f4db8 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.