Triple

T335034
Position Surface form Disambiguated ID Type / Status
Subject Thomas Mann E6705 entity
Predicate familyName P18 FINISHED
Object Mann
Mann is a common German surname borne by numerous notable figures in literature, politics, and the arts.
 E42631 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: Mann | Statement: [Thomas Mann, familyName, Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mann
Context triple: [Thomas Mann, familyName, Mann]
  • A. MAN
    MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
  • B. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • C. Manf
    Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
  • D. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • E. Herman
    Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
  • 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: Mann
Triple: [Thomas Mann, familyName, Mann]
Generated description
Mann is a common German surname borne by numerous notable figures in literature, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mann
Target entity description: Mann is a common German surname borne by numerous notable figures in literature, politics, and the arts.
  • A. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • B. MAN
    MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
  • C. Manf
    Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
  • D. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • E. Herman
    Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac641708190b85fa21368e5de8e completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d247650481909006cc27bfa385e3 completed March 1, 2026, 5:44 a.m.
NEDg Description generation batch_69a3d2d8aa64819095cdee306bec77ec completed March 1, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69a3d370d200819089eaf114357a8ca3 completed March 1, 2026, 5:49 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.