Triple

T13694320
Position Surface form Disambiguated ID Type / Status
Subject This Christmas E328344 entity
Predicate hasCastMember P2308 FINISHED
Object Lauren London E704726 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: Lauren London | Statement: [This Christmas, hasCastMember, Lauren London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren London
Context triple: [This Christmas, hasCastMember, Lauren London]
  • A. Lauren London chosen
    Lauren London is an American actress and model known for her roles in film and television, including notable performances in projects like "ATL" and "The Game."
  • B. Lauren Lloyd
    Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
  • C. Lauren Boyle
    Lauren Boyle is a New Zealand freestyle swimmer and multiple World Championship medallist known for her success in middle- and long-distance events.
  • D. Lauren Booth
    Lauren Booth is a British journalist, broadcaster, and activist known for her work in media and her high-profile conversion to Islam.
  • E. Amber Young
    Amber Young is the daughter of American singer-songwriter Pegi Young and stepdaughter of rock musician Neil Young.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794514afc8190b334b1fc74a6cdd5 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.