Triple

T11773806
Position Surface form Disambiguated ID Type / Status
Subject Novocaine E279965 entity
Predicate producer P490 FINISHED
Object Betsy Danbury E375713 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: Betsy Danbury | Statement: [Novocaine, producer, Betsy Danbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betsy Danbury
Context triple: [Novocaine, producer, Betsy Danbury]
  • A. Betsy Danbury chosen
    Betsy Danbury is a film producer best known for her work on the biographical legal drama "On the Basis of Sex."
  • B. Mary Bowne
    Mary Bowne was a colonial-era New Yorker known primarily as the daughter of Quaker pioneer and religious freedom advocate John Bowne.
  • C. Rebecca Tyng
    Rebecca Tyng was a colonial-era New England woman known primarily as the wife of Massachusetts governor and jurist Joseph Dudley, connecting two prominent early American families.
  • D. Elizabeth Carver
    Elizabeth Carver was the wife of British Field Marshal Bernard Montgomery, 1st Viscount Montgomery of Alamein.
  • E. Elizabeth Carver
    Elizabeth Carver is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55dfa088190a59b35d0247225e3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0909969e481908d836f912b5af5bf completed April 28, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:41 p.m.