Triple

T10281858
Position Surface form Disambiguated ID Type / Status
Subject Halle Berry E241118 entity
Predicate familyName P18 FINISHED
Object Berry E325598 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: Berry | Statement: [Halle Berry, familyName, Berry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berry
Context triple: [Halle Berry, familyName, Berry]
  • A. Berry
    Berry is a small historic town on the South Coast of New South Wales, Australia, known for its rural charm, heritage buildings, and popular weekend tourism.
  • B. Berry chosen
    Berry is a common English surname borne by numerous individuals across various fields, including sports, politics, and the arts.
  • C. Berry
    Berry is a historic province in central France known for its rural landscapes, medieval heritage, and traditional French culture.
  • D. Pear
    Pear is a sweet, bell-shaped fruit from the Pyrus genus, widely cultivated and eaten fresh, canned, or as juice around the world.
  • E. Blueberry
    Blueberry is a translucent light-blue color variant famously used on Apple’s early iMac G3 computers.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a177b48190aab7d7857f5bba7b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8352a108190b3692a2de3cb4dea completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:39 a.m.