Triple

T28169326
Position Surface form Disambiguated ID Type / Status
Subject David Lebovitz E715412 entity
Predicate blogFocus P109058 FINISHED
Object ice cream LITERAL 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: ice cream | Statement: [David Lebovitz, blogFocus, ice cream]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: blogFocus
Context triple: [David Lebovitz, blogFocus, ice cream]
  • A. categoryFocus
    Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
  • B. writingFocus
    Indicates that an entity’s primary attention or effort is directed toward writing or written expression.
  • C. brandFocus
    Indicates that a brand primarily concentrates its efforts, messaging, or resources on a particular target, theme, or market segment.
  • D. creativeWorkFocus chosen
    Indicates that one entity is the primary subject, theme, or focal point of another entity’s creative work.
  • E. commentaryFocus
    Indicates that an item of commentary is primarily directed toward or centered on a particular entity, topic, or aspect.
  • F. None of above.

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_69efd6b340f0819095680e15dcdc1830 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 10:11 p.m.