Triple

T9111567
Position Surface form Disambiguated ID Type / Status
Subject Lübeck Mann family E218612 entity
Predicate hasMember P10 FINISHED
Object Medi Mann
Medi Mann is a member of the historically significant Mann family from Lübeck, associated with prominent German literary and cultural figures.
 E779066 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: Medi Mann | Statement: [Lübeck Mann family, hasMember, Medi Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Medi Mann
Context triple: [Lübeck Mann family, hasMember, Medi Mann]
  • A. Mikal
    Mikal is a professional basketball player best known for his two-way play and durability in the NBA.
  • B. Männiku
    Männiku is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its forests, sand quarries, and military training areas.
  • C. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • D. Mr. Man
    "Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
  • E. Menem
    Menem is the surname of Carlos Menem, the former President of Argentina known for his neoliberal economic reforms and political influence in the 1990s.
  • 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: Medi Mann
Triple: [Lübeck Mann family, hasMember, Medi Mann]
Generated description
Medi Mann is a member of the historically significant Mann family from Lübeck, associated with prominent German literary and cultural figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Medi Mann
Target entity description: Medi Mann is a member of the historically significant Mann family from Lübeck, associated with prominent German literary and cultural figures.
  • A. Mikal
    Mikal is a professional basketball player best known for his two-way play and durability in the NBA.
  • B. Männiku
    Männiku is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its forests, sand quarries, and military training areas.
  • C. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • D. Mr. Man
    "Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
  • E. Menem
    Menem is the surname of Carlos Menem, the former President of Argentina known for his neoliberal economic reforms and political influence in the 1990s.
  • 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_69d030467b188190a6d99bf2fc65207d 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.