Triple

T16256953
Position Surface form Disambiguated ID Type / Status
Subject Designing Woman E394654 entity
Predicate awardReceivedBy P11 FINISHED
Object George Wells E158964 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: George Wells | Statement: [Designing Woman, awardReceivedBy, George Wells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Wells
Context triple: [Designing Woman, awardReceivedBy, George Wells]
  • A. George Wells chosen
    George Wells was an American screenwriter known for his work on classic Hollywood films, including several MGM musicals and comedies.
  • B. George Philip Wells
    George Philip Wells was a British zoologist and author, known both for his scientific work and as the son of writer H. G. Wells.
  • C. George Engel
    George Engel was a German-American labor activist and anarchist who was executed following the 1886 Haymarket affair in Chicago.
  • D. George Bullough
    George Bullough was a wealthy British industrialist and landowner best known for owning and lavishly developing the Scottish island of Rum in the late 19th and early 20th centuries.
  • E. William Ware Theiss
    William Ware Theiss was an American costume designer best known for his innovative and often daring futuristic costumes on the original Star Trek television series.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459b1624819086bf681075097235 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b3b48c8190ad0043d730b1da35 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.