Triple

T17264337
Position Surface form Disambiguated ID Type / Status
Subject Engelbert II of Berg E419085 entity
Predicate givenName P17 FINISHED
Object Engelbert
Engelbert is a masculine given name of Germanic origin, historically borne by various nobles, clerics, and artists in German-speaking Europe.
E1259014 NE FINISHED

How this triple was built (4 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: [Engelbert II of Berg, givenName, Engelbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engelbert
Context triple: [Engelbert II of Berg, givenName, Engelbert]
  • A. Englebert
    Englebert was a Belgian tyre manufacturer known for supplying racing tyres in early Formula One, including the 1950 World Championship season.
  • B. 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."
  • C. Elton
    Elton is the middle name of the influential Canadian science fiction author A. E. van Vogt.
  • D. Elton
    Elton is a district or locality within the town and parliamentary constituency of Bury North in Greater Manchester, England.
  • E. Jonathan King
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Engelbert
Triple: [Engelbert II of Berg, givenName, Engelbert]
Generated description
Engelbert is a masculine given name of Germanic origin, historically borne by various nobles, clerics, and artists in German-speaking Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Engelbert
Target entity description: Engelbert is a masculine given name of Germanic origin, historically borne by various nobles, clerics, and artists in German-speaking Europe.
  • A. Englebert
    Englebert was a Belgian tyre manufacturer known for supplying racing tyres in early Formula One, including the 1950 World Championship season.
  • B. 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."
  • C. Elton
    Elton is the middle name of the influential Canadian science fiction author A. E. van Vogt.
  • D. Elton
    Elton is a district or locality within the town and parliamentary constituency of Bury North in Greater Manchester, England.
  • E. Jonathan King
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • F. None of above. chosen

Provenance (5 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4432fc81908fd90865822af1fa completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171054f388190bf068ca2e6b88458 completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a0173faebf48190a1334a205cd9804a completed May 11, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0174a41204819097b9aeff2c09cffe completed May 11, 2026, 6:18 a.m.
Created at: April 10, 2026, 5:40 a.m.