Triple

T6280885
Position Surface form Disambiguated ID Type / Status
Subject kidnapping and assault case involving Stompie Seipei E140777 entity
Predicate motiveClaimedByPerpetrators P65261 FINISHED
Object suspicion of being a police informer LITERAL 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: suspicion of being a police informer | Statement: [kidnapping and assault case involving Stompie Seipei, motiveClaimedByPerpetrators, suspicion of being a police informer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: motiveClaimedByPerpetrators
Context triple: [kidnapping and assault case involving Stompie Seipei, motiveClaimedByPerpetrators, suspicion of being a police informer]
  • A. hasMotiveOfCriminals chosen
    Indicates that the specified motive is attributed to or associated with the criminals in question.
  • B. motive
    Indicates the underlying reason, intention, or driving force that explains why an entity performs or is associated with a particular action or event.
  • C. reasonForMurder
    Indicates the motive or underlying cause that led someone to commit a murder.
  • D. claimsToExplain
    Indicates that one entity asserts it can provide a clarification, account, or understanding of another entity or phenomenon.
  • E. perpetratedBy
    Indicates that an action, event, or wrongdoing was carried out or caused by a particular agent or entity.
  • F. None of above.

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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063ddb3a4819083455f6da854f8a9 completed March 22, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69c05608a5608190b22a1fdc4060470d completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:26 p.m.