Triple

T1787223
Position Surface form Disambiguated ID Type / Status
Subject Elevation E39419 entity
Predicate producer P490 FINISHED
Object Mamer
Mamer is a Luxembourgish singer-songwriter and musician known for blending folk, rock, and alternative influences in his work.
 E198999 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: Mamer | Statement: [Elevation, producer, Mamer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mamer
Context triple: [Elevation, producer, Mamer]
  • A. Pastoria
    Pastoria is the former king of the Land of Oz and the father of Princess Ozma in L. Frank Baum’s Oz series.
  • B. Navotas
    Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
  • C. Somosta
    Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
  • D. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • E. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • 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: Mamer
Triple: [Elevation, producer, Mamer]
Generated description
Mamer is a Luxembourgish singer-songwriter and musician known for blending folk, rock, and alternative influences in his work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mamer
Target entity description: Mamer is a Luxembourgish singer-songwriter and musician known for blending folk, rock, and alternative influences in his work.
  • A. Pastoria
    Pastoria is the former king of the Land of Oz and the father of Princess Ozma in L. Frank Baum’s Oz series.
  • B. Navotas
    Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
  • C. Somosta
    Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
  • D. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • E. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a66da8819085867355c174adce completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adaab488ec81909a340aab4916b90f completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adaf3cd23081909dd27c5de8e3f6d2 completed March 8, 2026, 5:17 p.m.
Created at: March 4, 2026, 7:32 p.m.