Triple

T3589717
Position Surface form Disambiguated ID Type / Status
Subject Harrison E75996 entity
Predicate hasNotableBearer P458 FINISHED
Object Rex Harrison E340920 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: Rex Harrison | Statement: [Harrison, hasNotableBearer, Rex Harrison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rex Harrison
Context triple: [Harrison, hasNotableBearer, Rex Harrison]
  • A. Rex Harrison chosen
    Rex Harrison was a distinguished English stage and film actor best known for his sophisticated, witty performances in classics such as "My Fair Lady."
  • B. Trevor Howard
    Trevor Howard was a distinguished English film and stage actor best known for his roles in classic films such as "Brief Encounter" and "The Third Man."
  • C. David Niven
    David Niven was a distinguished English actor known for his suave, debonair screen presence and acclaimed roles in films such as "Around the World in 80 Days" and "Separate Tables."
  • D. Michael Wilding
    Michael Wilding was a British film and stage actor best known for his roles in 1940s–1950s British cinema and for his high-profile marriage to actress Elizabeth Taylor.
  • E. Robert Donat
    Robert Donat was an acclaimed English stage and film actor best known for his performances in classic films such as "The 39 Steps" and his Oscar-winning role in "Goodbye, Mr. Chips."
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc13c9514819096adf60b15016b8b completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b403085e9881908041a32f1dab43d1 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:22 p.m.