Triple

T8110046
Position Surface form Disambiguated ID Type / Status
Subject Ann Lee E189325 entity
Predicate placeOfDeath P21 FINISHED
Object Watervliet E160079 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: Watervliet | Statement: [Ann Lee, placeOfDeath, Watervliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watervliet
Context triple: [Ann Lee, placeOfDeath, Watervliet]
  • A. Watervliet, New York chosen
    Watervliet, New York is a small industrial city in Albany County along the Hudson River, historically known for the Watervliet Arsenal and its role in U.S. military manufacturing.
  • B. Schuylerville
    Schuylerville is a historic village in upstate New York best known as the site of key events in the American Revolutionary War, particularly the Battles of Saratoga.
  • C. Fishkill
    Fishkill is a historic town and village in New York’s Hudson Valley, known for its colonial-era sites and role in the American Revolutionary War.
  • D. Tappan
    The Tappan were a Lenape (Delaware) Native American group who inhabited parts of present-day New York and New Jersey during the early colonial period.
  • E. Schenectady, New York
    Schenectady, New York is a historic city in eastern New York State known for its role in early American industry and as a former hub of General Electric and the American locomotive industry.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fcfb9c81908496f9a7e30d0d8a completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9421794081909170ea11b09ae357 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.