Triple

T14530870
Position Surface form Disambiguated ID Type / Status
Subject Nana Mensah E340910 entity
Predicate starredIn P1668 FINISHED
Object New Amsterdam E316874 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: New Amsterdam | Statement: [Nana Mensah, starredIn, New Amsterdam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New Amsterdam
Context triple: [Nana Mensah, starredIn, New Amsterdam]
  • A. New Amsterdam chosen
    New Amsterdam is an American medical drama television series set in a public hospital, following the idealistic new medical director as he attempts to reform the institution and improve patient care.
  • B. New Amsterdam
    New Amsterdam was the 17th-century Dutch colonial settlement on the southern tip of Manhattan that later became New York City.
  • C. New Amsterdam
    New Amsterdam is a town in eastern Guyana that serves as the main commercial and administrative center of the Berbice region.
  • D. Old York
    Old York is a historic English city, now known simply as York, renowned for its medieval architecture, Roman and Viking heritage, and well-preserved city walls.
  • E. Old New York
    Old New York is a collection of four novellas by Edith Wharton that portray the manners, morals, and social constraints of New York’s upper class in the late 19th century.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab24f8c8190bb0e68ebb854844d completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.