Triple

T9112248
Position Surface form Disambiguated ID Type / Status
Subject Ben E218629 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Benno
Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
E779083 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: Benno | Statement: [Ben, hasAlternativeSpelling, Benno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benno
Context triple: [Ben, hasAlternativeSpelling, Benno]
  • A. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • B. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • C. Bernhard
    Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • 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: Benno
Triple: [Ben, hasAlternativeSpelling, Benno]
Generated description
Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Benno
Target entity description: Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
  • A. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • B. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • C. Bernhard
    Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8495c448190b9bb3803fb2dda70 completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03052716c8190835b0d3357a29ce5 completed April 3, 2026, 9:25 p.m.
NEDg Description generation batch_69d0316f47c88190920843b469d15069 completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d032778adc8190a087497507a6e1ca completed April 3, 2026, 9:34 p.m.
Created at: March 30, 2026, 7:16 p.m.