Triple

T15495442
Position Surface form Disambiguated ID Type / Status
Subject Emil Mătăsăreanu E378804 entity
Predicate numberOfAccomplices P36179 FINISHED
Object 1 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: 1 | Statement: [Emil Mătăsăreanu, numberOfAccomplices, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfAccomplices
Context triple: [Emil Mătăsăreanu, numberOfAccomplices, 1]
  • A. numberOfPeopleAccused
    Indicates the count of individuals who are formally alleged to have committed a particular act or offense.
  • B. numberOfPerpetrators chosen
    Indicates the count of distinct individuals who carried out or participated in a particular act, event, or offense.
  • C. partnerInCrime
    Indicates a relationship where two or more entities collaborate closely in committing or planning wrongful, illicit, or mischievous acts together.
  • D. hasApproximateNumberOfConspirators
    Indicates that an entity is associated with an estimated or approximate count of conspirators involved with it.
  • E. numberOfPerpetratorsKilled
    Indicates the count of perpetrators who were killed in the context of the described event or incident.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69ded2874b788190999158e0f043be21 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:51 a.m.