Triple

T14398083
Position Surface form Disambiguated ID Type / Status
Subject Forget Paris E357001 entity
Predicate hasCastMember P2308 FINISHED
Object Tom Wright E1060952 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: Tom Wright | Statement: [Forget Paris, hasCastMember, Tom Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Wright
Context triple: [Forget Paris, hasCastMember, Tom Wright]
  • A. Tom Wright
    Tom Wright is a British architect best known for designing Dubai’s iconic sail-shaped Burj Al Arab hotel.
  • B. Tom Wright chosen
    Tom Wright is an actor known for his role in the film "Barbershop."
  • C. Ray Wright
    Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
  • D. Chris Wright
    Chris Wright is a British music industry executive best known as the co-founder of the influential record label Chrysalis Records.
  • E. Jon Wright
    Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9083f9d081908fe5c99655c410b3 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc424f88190ab3a1c1aec61cb40 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.