Triple

T16886789
Position Surface form Disambiguated ID Type / Status
Subject John Darwin E421559 entity
Predicate placeOfEvent_fakedDeath P124857 FINISHED
Object Seaton Carew E98608 NE FINISHED

How this triple was built (3 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: Seaton Carew | Statement: [John Darwin, placeOfEvent_fakedDeath, Seaton Carew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seaton Carew
Context triple: [John Darwin, placeOfEvent_fakedDeath, Seaton Carew]
  • A. Seaton Carew chosen
    Seaton Carew is a coastal village and seaside resort in County Durham, England, known for its sandy beach and promenade along the North Sea.
  • B. Seaton
    Seaton is a planned residential community and growth area within the city of Pickering in Ontario, Canada.
  • C. Seaton
    Seaton is a surname most notably associated with George Seaton, an American screenwriter, director, and producer.
  • D. Seaton
    Seaton is a residential suburb in the western suburbs of Adelaide, South Australia.
  • E. Rottingdean
    Rottingdean is a historic coastal village in East Sussex, England, known for its picturesque setting and associations with notable artists and writers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: placeOfEvent_fakedDeath
Context triple: [John Darwin, placeOfEvent_fakedDeath, Seaton Carew]
  • A. fakedOwnDeath
    Indicates that an entity deliberately staged or pretended their own death to deceive others.
  • B. placeOfDeath
    Indicates the location where an entity (typically a person or animal) died.
  • C. reasonForFakedDeath
    Indicates the motive or justification behind an entity’s decision to fake or stage their own death.
  • D. deathSceneWork
    Indicates that a creative work features or depicts the scene in which a character dies.
  • E. perpetratorDiedAtScene
    Indicates that the perpetrator died at the location where the incident or event took place.
  • F. None of above. chosen

Provenance (5 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc1f42481909dcf595358c23497 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a61c608190909a462e9e77220b completed May 10, 2026, 6 p.m.
PD Predicate disambiguation batch_69e32b90ec3c819099c51bb7baf2984c completed April 18, 2026, 6:58 a.m.
PDg Predicate description generation batch_69e32e2c07b081908c8fee9f5507bb9e completed April 18, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:29 a.m.