Triple

T14655127
Position Surface form Disambiguated ID Type / Status
Subject Trevor Bruttenholm E344089 entity
Predicate familyName P18 FINISHED
Object Bruttenholm E344089 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: Bruttenholm | Statement: [Trevor Bruttenholm, familyName, Bruttenholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruttenholm
Context triple: [Trevor Bruttenholm, familyName, Bruttenholm]
  • A. Bruttenholm chosen
    Bruttenholm is the surname of Professor Trevor Bruttenholm, the fictional British occult scholar and adoptive father of Hellboy in Mike Mignola’s comic series and its film adaptations.
  • B. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • C. Dyrholm
    Dyrholm is a Danish surname most notably borne by acclaimed actress and singer Trine Dyrholm.
  • D. Thyborøn
    Thyborøn is a coastal fishing town and tourist destination in western Jutland, Denmark, known for its harbor, North Sea beaches, and World War II coastal fortifications.
  • E. Egholm
    Egholm is a small Danish island located in the Limfjord near the city of Aalborg, known for its rural landscape and ferry connection to the mainland.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb518f7dc8190877997ea4cd3eed2 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5de0b98819094c32765e4cb3f9c completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:27 a.m.