Triple

T14699365
Position Surface form Disambiguated ID Type / Status
Subject Real Tigers E345251 entity
Predicate author P4 FINISHED
Object Mick Herron E346469 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: Mick Herron | Statement: [Real Tigers, author, Mick Herron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mick Herron
Context triple: [Real Tigers, author, Mick Herron]
  • A. Mick Herron chosen
    Mick Herron is a British crime novelist best known for his acclaimed Slough House espionage series featuring disgraced MI5 agents.
  • B. Linwood Barclay
    Linwood Barclay is a Canadian author best known for his bestselling crime and thriller novels, often featuring ordinary people caught in extraordinary and suspenseful situations.
  • C. Ben Aaronovitch
    Ben Aaronovitch is a British author and screenwriter best known for his urban fantasy "Rivers of London" series, which blends police procedural elements with magic in a contemporary London setting.
  • D. Jefferson Caffery
    Jefferson Caffery was a prominent 20th-century American diplomat who served as U.S. ambassador to several key countries, including Brazil, France, and Egypt.
  • E. Nathan Barr
    Nathan Barr is an American film and television composer known for his atmospheric scores on projects ranging from horror films to acclaimed series like True Blood and The Americans.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb604f88081908a677175045496d0 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38857068819085e0d62829302abd completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:28 a.m.