Triple

T7385686
Position Surface form Disambiguated ID Type / Status
Subject Castle Cornet E170372 entity
Predicate nearbyIsland P2064 FINISHED
Object Herm E29446 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: Herm | Statement: [Castle Cornet, nearbyIsland, Herm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herm
Context triple: [Castle Cornet, nearbyIsland, Herm]
  • A. Herm chosen
    Herm is a small, privately owned island in the English Channel known for its unspoiled beaches, car-free environment, and status as part of the Bailiwick of Guernsey.
  • B. Herb
    Herb is a masculine given name, often a short form of Herbert, used by various notable figures including artists and entertainers.
  • C. Herma
    Herma is a groundbreaking solo piano composition by Iannis Xenakis that applies mathematical and set-theoretical principles to create highly complex, avant-garde sound structures.
  • D. Hermánek
    Hermánek is a Czech surname most notably borne by actor Karel Hermánek.
  • E. Herman
    Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f117ec8190a97cbd0b35d5811a completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802e23714819094a1b31c82a27fee completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:08 p.m.