Triple

T3793298
Position Surface form Disambiguated ID Type / Status
Subject Humphry Osmond E89707 entity
Predicate researchSubject P934 FINISHED
Object LSD E310169 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: LSD | Statement: [Humphry Osmond, researchSubject, LSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LSD
Context triple: [Humphry Osmond, researchSubject, LSD]
  • A. LSD chosen
    LSD is a powerful psychedelic drug known for its profound hallucinogenic effects and its central role in 1960s counterculture and the hippie movement.
  • B. Psychédélices
    Psychédélices is the second studio album by French pop singer Alizée, showcasing a more mature, electro-pop sound that marked her artistic evolution after her early success.
  • C. Substiane
    Substiane is a La Roche-Posay skincare line formulated to address loss of firmness, density, and comfort in mature or aging skin.
  • D. Sahl Hasheesh
    Sahl Hasheesh is a modern Red Sea coastal resort town in Egypt known for its luxury hotels, beaches, and diving and snorkeling sites.
  • E. Ganja
    Ganja is one of Azerbaijan’s largest and oldest cities, known as a historic cultural and economic center in the South Caucasus.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76b809c81908312f308fbe85bf4 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f058f03881909aded87e7a74849f completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.