Triple

T18069058
Position Surface form Disambiguated ID Type / Status
Subject Cathy Engelbert E432372 entity
Predicate familyName P18 FINISHED
Object Engelbert NE NERFINISHED

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: Engelbert | Statement: [Cathy Engelbert, familyName, Engelbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engelbert
Context triple: [Cathy Engelbert, familyName, Engelbert]
  • A. Engelbert chosen
    Engelbert is a masculine given name of Germanic origin, historically borne by various nobles, clerics, and artists in German-speaking Europe.
  • B. Englebert
    Englebert was a Belgian tyre manufacturer known for supplying racing tyres in early Formula One, including the 1950 World Championship season.
  • C. Engelbert Humperdinck
    Engelbert Humperdinck is a British pop singer known for his smooth baritone voice and romantic ballads, achieving international fame with hits like "Release Me" and "The Last Waltz."
  • D. Elton
    Elton is the middle name of the influential Canadian science fiction author A. E. van Vogt.
  • E. Elton
    Elton is a district or locality within the town and parliamentary constituency of Bury North in Greater Manchester, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccebff748190b41d2edd93994c67 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.