Triple

T3935853
Position Surface form Disambiguated ID Type / Status
Subject Eberhard E90908 entity
Predicate hasShortForm P43 FINISHED
Object Ebbe
Ebbe is a given name commonly used as a short form or diminutive of the German name Eberhard.
 E398803 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: Ebbe | Statement: [Eberhard, hasShortForm, Ebbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ebbe
Context triple: [Eberhard, hasShortForm, Ebbe]
  • A. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • B. Bruinisse
    Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
  • C. Eemnes
    Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
  • D. Thalassa
    Thalassa is a primordial sea goddess in Greek mythology, personifying the sea itself and associated with the origins of marine life.
  • E. Thalassa
    Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
  • 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: Ebbe
Triple: [Eberhard, hasShortForm, Ebbe]
Generated description
Ebbe is a given name commonly used as a short form or diminutive of the German name Eberhard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ebbe
Target entity description: Ebbe is a given name commonly used as a short form or diminutive of the German name Eberhard.
  • A. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • B. Bruinisse
    Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
  • C. Eemnes
    Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
  • D. Thalassa
    Thalassa is a primordial sea goddess in Greek mythology, personifying the sea itself and associated with the origins of marine life.
  • E. Thalassa
    Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcd29148190a98e4549c9ed8888 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288eb3e481909a68531fd37371a4 completed March 14, 2026, 9:21 a.m.
NEDg Description generation batch_69b5297a08d08190a0150d71a795c66f completed March 14, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69b529d7a5a88190aa0728778e8540c5 completed March 14, 2026, 9:26 a.m.
Created at: March 9, 2026, 3:23 p.m.