Triple

T7217491
Position Surface form Disambiguated ID Type / Status
Subject Grace and Frankie E149571 entity
Predicate executiveProducer P7225 FINISHED
Object Howard J. Morris E652037 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: Howard J. Morris | Statement: [Grace and Frankie, executiveProducer, Howard J. Morris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard J. Morris
Context triple: [Grace and Frankie, executiveProducer, Howard J. Morris]
  • A. Howard J. Morris chosen
    Howard J. Morris is an American television writer and producer best known for co-creating and showrunning the Netflix comedy series "Grace and Frankie."
  • B. James H. Morris
    James H. Morris is an American computer scientist best known for co-developing the Knuth–Morris–Pratt string-searching algorithm and for his contributions to programming languages and computer systems research.
  • C. Donald J. Harris
    Donald J. Harris is a Jamaican-American economist and professor emeritus at Stanford University, known for his work in economic theory and development economics.
  • D. James L. Wilmeth
    James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
  • E. Hugh G. Jones
    Hugh G. Jones was an architect known for his role in designing Toronto’s historic Union Station.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e99170d88190b1aef326a7d81134 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db092ed481908f478860418eb0bd completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:53 p.m.