Triple

T14839185
Position Surface form Disambiguated ID Type / Status
Subject European Research Group E348911 entity
Predicate hasMember P10 FINISHED
Object Andrea Jenkyns E937961 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: Andrea Jenkyns | Statement: [European Research Group, hasMember, Andrea Jenkyns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea Jenkyns
Context triple: [European Research Group, hasMember, Andrea Jenkyns]
  • A. Andrea Jenkyns chosen
    Andrea Jenkyns is a British Conservative Party politician known for her pro-Brexit stance and service as a Member of Parliament.
  • B. Rebecca Yeldham
    Rebecca Yeldham is a film producer known for her work on acclaimed independent and international films, including the adaptation of "The Kite Runner."
  • C. Jenny Petherbridge
    Jenny Petherbridge is a character in Djuna Barnes’s modernist novel "Nightwood," known for her obsessive, acquisitive nature and her destructive romantic entanglements.
  • D. Rebecca Lowndes
    Rebecca Lowndes was the wife of Benjamin Stoddert, the first U.S. Secretary of the Navy, and a member of a prominent Maryland family.
  • E. Alys Tomlinson
    Alys Tomlinson is a British photographer best known for her contemplative, large-format portrait and landscape work, including the award-winning series "Ex-Voto."
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfd1a1b48190b3b69b2841f643a3 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 1:52 a.m.