Triple

T9082261
Position Surface form Disambiguated ID Type / Status
Subject Anne Sinclair E217659 entity
Predicate employer P7 FINISHED
Object Le Huffington Post (French edition) E10978 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: Le Huffington Post (French edition) | Statement: [Anne Sinclair, employer, Le Huffington Post (French edition)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Huffington Post (French edition)
Context triple: [Anne Sinclair, employer, Le Huffington Post (French edition)]
  • A. HuffPost chosen
    HuffPost is a digital news and opinion website known for its extensive blogging platform, progressive political coverage, and aggregation of news from various sources.
  • B. France Médias Monde
    France Médias Monde is the French public broadcasting group that oversees the country’s international radio and television services, including outlets like RFI and France 24.
  • C. Le Figaro
    Le Figaro is one of France’s oldest and most influential daily newspapers, known for its conservative editorial stance and major role in the country’s cultural and political life.
  • D. Le Monde
    Le Monde is a leading French daily newspaper known for its in-depth political, cultural, and international reporting.
  • E. French Wikinews
    French Wikinews is the French-language edition of the Wikinews collaborative, free-content news project run by the Wikimedia Foundation.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9608a82481908918821884ba5796 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe30093481908b3ec394cf585642 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.