Triple

T3064647
Position Surface form Disambiguated ID Type / Status
Subject Kerry Emanuel E62074 entity
Predicate name P16 FINISHED
Object Kerry Emanuel E62074 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: Kerry Emanuel | Statement: [Kerry Emanuel, name, Kerry Emanuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerry Emanuel
Context triple: [Kerry Emanuel, name, Kerry Emanuel]
  • A. Kerry Emanuel chosen
    Kerry Emanuel is an American atmospheric scientist renowned for his pioneering research on tropical cyclones and the impact of climate change on hurricane intensity.
  • B. William Gray
    William Gray was a prominent early American merchant and political figure from Massachusetts whose influence and legacy are reflected in regional landmarks bearing his name.
  • C. Herbert Saffir
    Herbert Saffir was an American civil engineer who co-developed the Saffir–Simpson Hurricane Wind Scale used to classify hurricane intensity.
  • D. Jule Gregory Charney
    Jule Gregory Charney was a pioneering American meteorologist and mathematician who laid the foundations of modern numerical weather prediction and large-scale atmospheric dynamics.
  • E. Andrew W. Preston
    Andrew W. Preston was an American businessman best known as a pioneering figure in the tropical fruit trade and a key architect of the modern banana 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9ea2154c8190ab243feb77170a15 completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef1402108190a2d24e7eb523f658 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.