Triple

T4850508
Position Surface form Disambiguated ID Type / Status
Subject Heptares Therapeutics E108401 entity
Predicate hasKeyPerson P256 FINISHED
Object Malcolm Weir E474942 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: Malcolm Weir | Statement: [Heptares Therapeutics, hasKeyPerson, Malcolm Weir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm Weir
Context triple: [Heptares Therapeutics, hasKeyPerson, Malcolm Weir]
  • A. Malcolm Weir chosen
    Malcolm Weir is a British scientist and biotechnology entrepreneur best known as the founder of the drug discovery company Heptares Therapeutics.
  • B. Malcolm Ross
    Malcolm Ross is a linguist known for his influential work on the classification and historical relationships of Papuan and Oceanic languages, particularly in the Northwest Solomonic region.
  • C. Malcolm Dixon
    Malcolm Dixon was a British actor and dwarf performer best known for his roles in fantasy and science-fiction films of the late 20th century.
  • D. Malcolm Delaney
    Malcolm Delaney is an American professional basketball player known for his standout college career at Virginia Tech and his subsequent play in the NBA and top European leagues.
  • E. Malcolm Sinclair
    Malcolm Sinclair is a British actor known for his work in television, film, and theatre, often appearing in character roles in popular UK dramas and comedies.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d1e5cf08190bd6b6a524748f170 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67da14d48190a994a11eb7a674b5 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:25 p.m.