Triple

T14731287
Position Surface form Disambiguated ID Type / Status
Subject George (Secret Seven) E346079 entity
Predicate hasFriend P8712 FINISHED
Object Barbara (Secret Seven) E646656 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: Barbara (Secret Seven) | Statement: [George (Secret Seven), hasFriend, Barbara (Secret Seven)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbara (Secret Seven)
Context triple: [George (Secret Seven), hasFriend, Barbara (Secret Seven)]
  • A. Barbara (Secret Seven) chosen
    Barbara is a member of Enid Blyton’s Secret Seven, a children’s mystery-solving club featured in the classic book series.
  • B. Janet (Secret Seven)
    Janet is one of the core child members of Enid Blyton’s Secret Seven detective club, known for her practicality and involvement in the group’s adventures.
  • C. Pam (Secret Seven)
    Pam is one of the child members of Enid Blyton’s Secret Seven detective club, appearing throughout the classic mystery series as part of the core group of young sleuths.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26311c8819093a81ff0fa43b33b completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388792688190b1b6eaa8091733fb completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:29 a.m.