Triple

T16177407
Position Surface form Disambiguated ID Type / Status
Subject Irna Phillips E392598 entity
Predicate notableWork P4 FINISHED
Object Young Doctor Malone E1198279 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: Young Doctor Malone | Statement: [Irna Phillips, notableWork, Young Doctor Malone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young Doctor Malone
Context triple: [Irna Phillips, notableWork, Young Doctor Malone]
  • A. Young Doctor Malone chosen
    Young Doctor Malone was an American radio and television soap opera that followed the personal and professional life of a small-town physician.
  • B. Young Jonn
    Young Jonn is a Nigerian record producer and singer known for crafting hit Afrobeats tracks and collaborating with prominent artists in the contemporary Nigerian music scene.
  • C. Young Sam
    Young Sam is a character portrayed by actor Dylan Schmid, likely representing a younger version of a main character named Sam in a film or television production.
  • D. Stary Doktor
    Stary Doktor is the pen name of Janusz Korczak, the Polish-Jewish pediatrician, educator, and author renowned for his pioneering work in children’s rights and progressive orphan care.
  • E. La Dotta
    La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22059e7048190b4592cb1516b5f8d completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffefe4dc08190a6cc43a448ae6554 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.