Triple

T10431834
Position Surface form Disambiguated ID Type / Status
Subject Warsan Shire E245932 entity
Predicate familyName P18 FINISHED
Object Shire E252968 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: Shire | Statement: [Warsan Shire, familyName, Shire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shire
Context triple: [Warsan Shire, familyName, Shire]
  • A. Shire
    The Shire is a peaceful, rural region in J.R.R. Tolkien's Middle-earth, inhabited primarily by hobbits and known for its pastoral beauty and simple, agrarian lifestyle.
  • B. Shire chosen
    Shire is a town in Ethiopia’s northern Tigray Region, known as a local administrative and commercial center and for its proximity to historic sites such as Axum.
  • C. Roche
    Roche is a major Swiss multinational healthcare company and one of the world’s leading pharmaceutical and diagnostics firms.
  • D. Roche
    Roche is a common surname of French origin borne by various notable individuals across fields such as architecture, politics, and the arts.
  • E. Ipsen
    Ipsen is a global biopharmaceutical company headquartered in France, focused on specialty care areas such as oncology, neuroscience, and rare diseases.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea63f03c81908331655241102725 completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87eb068bc8190be9c7c916850278e completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:13 p.m.