Triple

T9079623
Position Surface form Disambiguated ID Type / Status
Subject Leontine Drinkard E217582 entity
Predicate hasChild P369 FINISHED
Object Larry Drinkard E267192 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: Larry Drinkard | Statement: [Leontine Drinkard, hasChild, Larry Drinkard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Drinkard
Context triple: [Leontine Drinkard, hasChild, Larry Drinkard]
  • A. Larry Drinkard chosen
    Larry Drinkard is a gospel singer best known as a member of the influential family group The Drinkard Singers.
  • B. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • C. Peter Rinearson
    Peter Rinearson is an American journalist and author best known for co-authoring Bill Gates’s book "The Road Ahead" and for his Pulitzer Prize–winning feature writing.
  • D. Ben Haggerty
    Ben Haggerty, better known by his stage name Macklemore, is an American rapper and songwriter recognized for hits like "Thrift Shop" and "Can't Hold Us."
  • E. Ken Ralston
    Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c93ee48190842623b57e50f4cf completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d178be71188190bb9bdb719dd4d12d completed April 4, 2026, 8:46 p.m.
Created at: March 30, 2026, 7:12 p.m.