Triple

T9746475
Position Surface form Disambiguated ID Type / Status
Subject Dulcy E236321 entity
Predicate author P4 FINISHED
Object Marc Connelly E236321 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: Marc Connelly | Statement: [Dulcy, author, Marc Connelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Connelly
Context triple: [Dulcy, author, Marc Connelly]
  • A. Marc Connelly chosen
    Marc Connelly was an American playwright, director, and member of the Algonquin Round Table who won the Pulitzer Prize for Drama for "The Green Pastures."
  • B. Andy Connell
    Andy Connell is an English musician and composer best known as a member of the jazz-pop duo Swing Out Sister and for his earlier work in the post-punk and new wave scenes.
  • C. Joe Connolly
    Joe Connolly was a Major League Baseball outfielder best known for his role on the 1914 "Miracle" Boston Braves championship team.
  • D. Christian O'Connell
    Christian O'Connell is a British radio DJ, comedian, and author best known for hosting popular breakfast shows in the UK and Australia.
  • E. Kevin Connor
    Kevin Connor is a film editor known for his work on the satirical World War I musical film "Oh! What a Lovely War."
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f65ad788190b68d731b6f516d93 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5a1a3b88190a1b4561a9a780e41 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:23 p.m.