Triple

T15974227
Position Surface form Disambiguated ID Type / Status
Subject Godfrey Hounsfield E387402 entity
Predicate knownFor P22 FINISHED
Object Hounsfield scale E387405 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: Hounsfield scale | Statement: [Godfrey Hounsfield, knownFor, Hounsfield scale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hounsfield scale
Context triple: [Godfrey Hounsfield, knownFor, Hounsfield scale]
  • A. Hounsfield unit (for attenuation values) chosen
    The Hounsfield unit is a quantitative scale used in CT imaging to express tissue radiodensity relative to water and air, enabling standardized comparison of attenuation values across scans.
  • B. Röntgental
    Röntgental is a village and locality within the municipality of Panketal in the state of Brandenburg, Germany.
  • C. roentgen (unit)
    The roentgen is an obsolete unit of exposure to ionizing X- or gamma radiation, historically used to quantify the amount of radiation that produces a specific level of ionization in air.
  • D. MDCT
    MDCT (Modified Discrete Cosine Transform) is a time-frequency transform widely used in modern audio compression formats to efficiently represent sound with reduced data.
  • E. Proscan
    Proscan is a consumer electronics brand known for producing affordable televisions and related audio-visual equipment.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572b667c8190b28d0556e45422bb completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8ce7788190a3e0aefc9a29d58a completed May 9, 2026, 11:09 p.m.
Created at: April 10, 2026, 4:54 a.m.