Triple

T2693642
Position Surface form Disambiguated ID Type / Status
Subject Forecourt of the Stars E58460 entity
Predicate hasNotableImprints P41106 FINISHED
Object Emma Watson E117460 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: Emma Watson | Statement: [Forecourt of the Stars, hasNotableImprints, Emma Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Watson
Context triple: [Forecourt of the Stars, hasNotableImprints, Emma Watson]
  • A. Emma Watson chosen
    Emma Watson is a British actress and activist best known for playing Hermione Granger in the Harry Potter film series and for her advocacy on gender equality.
  • B. Evanna Lynch
    Evanna Lynch is an Irish actress best known for playing Luna Lovegood in the Harry Potter film series.
  • C. Lily James
    Lily James is an English actress known for her roles in films such as Cinderella, Baby Driver, and Mamma Mia! Here We Go Again, as well as the TV series Downton Abbey.
  • D. Felicity Jones
    Felicity Jones is an English actress known for her roles in films such as "The Theory of Everything" and "Rogue One: A Star Wars Story."
  • E. Karen Gillan
    Karen Gillan is a Scottish actress and filmmaker best known for her roles as Nebula in the Marvel Cinematic Universe and Amy Pond in the television series Doctor Who.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1e80dc819083e04e1427d187d0 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6501088190b8fe1ba8de4f6e00 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:54 p.m.