Triple

T4370814
Position Surface form Disambiguated ID Type / Status
Subject David Astor E98890 entity
Predicate employer P7 FINISHED
Object The Observer E201234 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: The Observer | Statement: [David Astor, employer, The Observer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Observer
Context triple: [David Astor, employer, The Observer]
  • A. The Observer chosen
    The Observer is a long-running British Sunday newspaper known for its in-depth journalism and commentary on politics, culture, and current affairs.
  • B. The New Observer
    The New Observer was the original name of the British newspaper that later became known as The Sunday Times.
  • C. The Guardian
    The Guardian is a British daily newspaper known for its progressive editorial stance and in-depth coverage of national and international news, culture, and opinion.
  • D. El Espectador
    El Espectador is one of Colombia’s oldest and most influential national newspapers, known for its investigative journalism and cultural reporting.
  • E. The Newsreader
    The Newsreader is an Australian television drama series set in the 1980s that follows the turbulent personal and professional lives of journalists and newsreaders in a commercial newsroom.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521cb7ec8190b7b79675871d97d8 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50bcc9481909b0b9d60198dce63 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.