Triple

T11319276
Position Surface form Disambiguated ID Type / Status
Subject Dr. Martha Livingston E268048 entity
Predicate familyName P18 FINISHED
Object Livingston E99750 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: Livingston | Statement: [Dr. Martha Livingston, familyName, Livingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livingston
Context triple: [Dr. Martha Livingston, familyName, Livingston]
  • A. Livingston
    Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
  • B. Livingston chosen
    Livingston is a prominent American family name historically associated with influential political figures, landowners, and statesmen, particularly in New York.
  • C. Livingston
    Livingston is a small city in western Alabama known as the home of the University of West Alabama.
  • D. Livingston
    Livingston is a residential neighborhood on Staten Island, New York City, known for its historic character and proximity to cultural institutions like Snug Harbor.
  • E. Livingston
    Livingston is a small agricultural city in California’s Central Valley, located in Merced County.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525e2549081909ec99e4c7006fd66 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.