Triple

T17607074
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Hiram Coffey E428859 entity
Predicate conflictWith P4897 FINISHED
Object Lindsey Brigman 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: Lindsey Brigman | Statement: [Lieutenant Hiram Coffey, conflictWith, Lindsey Brigman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindsey Brigman
Context triple: [Lieutenant Hiram Coffey, conflictWith, Lindsey Brigman]
  • A. Lindsey Brigman chosen
    Lindsey Brigman is a brilliant, strong-willed engineer and co-designer of an experimental underwater drilling platform in the science fiction film "The Abyss."
  • B. Lindsey Weber
    Lindsey Weber is a film and television producer known for her work on major genre projects including the science-fiction blockbuster "Star Trek Beyond."
  • C. Lindsey Nelson
    Lindsey Nelson was a prominent American sportscaster best known for his play-by-play broadcasting of college football and New York Mets baseball games.
  • D. Lindsay Merrill
    Lindsay Merrill is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Merrill.
  • E. Lindsey Morgan
    Lindsey Morgan is an American actress best known for her role as Raven Reyes on the science fiction television series "The 100."
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4ccef08190aeaa88670364bd74 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.