Triple

T21737983
Position Surface form Disambiguated ID Type / Status
Subject Robert Daly E536575 entity
Predicate createsFromDNA P145173 FINISHED
Object digital clones of coworkers LITERAL 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: digital clones of coworkers | Statement: [Robert Daly, createsFromDNA, digital clones of coworkers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: createsFromDNA
Context triple: [Robert Daly, createsFromDNA, digital clones of coworkers]
  • A. isBiosynthesizedFrom
    Indicates that one substance is produced through a biological synthesis process using another substance as its precursor or starting material.
  • B. geneticallyManipulatedBy
    Indicates that an entity’s genetic material has been altered or modified as a result of actions performed by another specified agent or process.
  • C. builtFrom
    Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
  • D. geneticMaterial
    Indicates that one entity serves as the hereditary or genetic substance (e.g., DNA or RNA) of another entity.
  • E. takesFormOf
    Indicates that one entity assumes, manifests, or is expressed in the shape, structure, or configuration of another entity.
  • F. None of above. chosen

Provenance (4 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0d33dc81908a4a79abc33355d1 completed April 28, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e6969c16fc8190b5126c169317d85d completed April 20, 2026, 9:11 p.m.
PDg Predicate description generation batch_69e69f3ed4408190a4a78410bf660c44 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 6:49 p.m.