Triple

T9329164
Position Surface form Disambiguated ID Type / Status
Subject Philip H. Lathrop E224471 entity
Predicate familyName P18 FINISHED
Object Lathrop E646269 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: Lathrop | Statement: [Philip H. Lathrop, familyName, Lathrop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lathrop
Context triple: [Philip H. Lathrop, familyName, Lathrop]
  • A. Lathrop
    Lathrop is a small city in California’s Central Valley known for its location along major transportation corridors and growing residential and industrial development.
  • B. Lathrop chosen
    Lathrop is an English-language surname borne by various notable individuals in American history, politics, and social reform.
  • C. Belvidere
    Belvidere is a small industrial city in northern Illinois known historically for its automotive manufacturing and location along the Kishwaukee River.
  • D. Linwood
    Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
  • E. Linwood
    Linwood is a residential neighborhood located within the city of Milwaukie, Oregon.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3c30ba88190b192621928136b87 completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:39 p.m.