Triple

T15783913
Position Surface form Disambiguated ID Type / Status
Subject Melanie Behringer E382686 entity
Predicate familyName P18 FINISHED
Object Behringer
Behringer is a German surname borne by various notable individuals, including professional footballer Melanie Behringer.
E1176514 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: Behringer | Statement: [Melanie Behringer, familyName, Behringer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Behringer
Context triple: [Melanie Behringer, familyName, Behringer]
  • A. Edirol
    Edirol is a Roland Corporation brand known for its digital audio and video equipment, including interfaces, mixers, and recording devices aimed at musicians and multimedia creators.
  • B. Mackie
    Mackie is a British actress best known for playing Bill Potts, a companion of the Doctor, in the long-running television series Doctor Who.
  • C. Mackie
    Mackie is the surname of American rapper Remy Ma, known for her influential role in East Coast hip hop and appearances on reality television.
  • D. Korg
    Korg is a rock-like Kronan warrior from the Marvel universe, best known as a humorous ally of Thor who appears in the Marvel Cinematic Universe films.
  • E. Strymon
    Strymon is the ancient name of the Struma River, a historically significant waterway in the Balkans that flows through Bulgaria and Greece into the Aegean Sea.
  • 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: Behringer
Triple: [Melanie Behringer, familyName, Behringer]
Generated description
Behringer is a German surname borne by various notable individuals, including professional footballer Melanie Behringer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Behringer
Target entity description: Behringer is a German surname borne by various notable individuals, including professional footballer Melanie Behringer.
  • A. Edirol
    Edirol is a Roland Corporation brand known for its digital audio and video equipment, including interfaces, mixers, and recording devices aimed at musicians and multimedia creators.
  • B. Mackie
    Mackie is a British actress best known for playing Bill Potts, a companion of the Doctor, in the long-running television series Doctor Who.
  • C. Mackie
    Mackie is the surname of American rapper Remy Ma, known for her influential role in East Coast hip hop and appearances on reality television.
  • D. Korg
    Korg is a rock-like Kronan warrior from the Marvel universe, best known as a humorous ally of Thor who appears in the Marvel Cinematic Universe films.
  • E. Strymon
    Strymon is the ancient name of the Struma River, a historically significant waterway in the Balkans that flows through Bulgaria and Greece into the Aegean Sea.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05401c4788190a31c180953433db9 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a4661481909d04bcb9f5043a6b completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff935867d08190955c2d665a761a5e completed May 9, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff93fc19048190981d8e44ee5222f7 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 4:48 a.m.