Triple

T11486250
Position Surface form Disambiguated ID Type / Status
Subject Charlene Fleming E272286 entity
Predicate conflictsWith P4897 FINISHED
Object Ward family E489731 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: Ward family | Statement: [Charlene Fleming, conflictsWith, Ward family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ward family
Context triple: [Charlene Fleming, conflictsWith, Ward family]
  • A. Ward family chosen
    The Ward family is a historically significant family after whom Wards Island in New York is named.
  • B. Stephen family
    The Stephen family was a prominent British intellectual and literary family of the late 19th and early 20th centuries, closely associated with the Bloomsbury Group and including figures such as Virginia Woolf and Vanessa Bell.
  • C. Hood family
    The Hood family is a British aristocratic lineage best known for its naval and political prominence, including several viscounts and admirals.
  • D. Hart family
    The Hart family is a prominent American entertainment family best known for including comedian and actor Kevin Hart and his children.
  • E. Hart family
    The Hart family is a prominent Canadian wrestling dynasty known for producing numerous influential professional wrestlers and trainers across multiple generations.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1fc9688190aacc2eed64229b79 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6046076d0819087766bf905825217 completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.