Triple

T1041626
Position Surface form Disambiguated ID Type / Status
Subject Automattic E22480 entity
Predicate owns P347 FINISHED
Object Longreads E120451 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: Longreads | Statement: [Automattic, owns, Longreads]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longreads
Context triple: [Automattic, owns, Longreads]
  • A. Longreads chosen
    Longreads is an online publication and curation platform focused on long-form journalism, essays, and in-depth storytelling from across the web.
  • B. Read
    Read is a surname shared by various notable individuals across fields such as politics, arts, and academia.
  • C. Stories That Matter
    Stories That Matter is the guiding motto of the Peabody Awards, emphasizing their focus on honoring impactful and socially significant storytelling in media.
  • D. Reading
    Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
  • E. The Right to Read
    "The Right to Read" is a short story by Richard Stallman that warns about the dangers of restrictive digital rights management and the loss of freedoms in a future where sharing digital works is criminalized.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82f6c14819080277443ea4722dd completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac429ad45481908641fcaf72f7d1b9 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.