Triple

T14159019
Position Surface form Disambiguated ID Type / Status
Subject Anna Belknap E350888 entity
Predicate characterPortrayed P1507 FINISHED
Object Lindsay Monroe E370212 NE FINISHED

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: Lindsay Monroe | Statement: [Anna Belknap, characterPortrayed, Lindsay Monroe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindsay Monroe
Context triple: [Anna Belknap, characterPortrayed, Lindsay Monroe]
  • A. Lindsay Monroe chosen
    Lindsay Monroe is a forensic scientist and crime scene investigator featured as a central character in the television series CSI: NY.
  • B. Deanna Monroe
    Deanna Monroe is a prominent character in The Walking Dead TV series, known as the pragmatic and politically savvy former congresswoman who leads the Alexandria Safe-Zone.
  • C. Lindsay Merrill
    Lindsay Merrill is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Merrill.
  • D. Lindsay Mills
    Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
  • E. Lindsay Taylor
    Lindsay Taylor is an American soccer forward best known for her standout collegiate career with Stanford and subsequent professional play in the National Women's Soccer League.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06cddcc81909a1ba268f667dc1d completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 12:58 a.m.