Triple

T22368285
Position Surface form Disambiguated ID Type / Status
Subject Pfister E552968 entity
Predicate hasNotableBearer P458 FINISHED
Object Christian Pfister
Christian Pfister is a Swiss historian and climate researcher known for his pioneering work on historical climatology and the social impacts of past climate variability.
E1533195 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: Christian Pfister | Statement: [Pfister, hasNotableBearer, Christian Pfister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Pfister
Context triple: [Pfister, hasNotableBearer, Christian Pfister]
  • A. Christian Fuchs
    Christian Fuchs is an Austrian former professional footballer best known as a left-back for clubs such as Schalke 04 and Leicester City, with whom he won the 2015–16 Premier League title.
  • B. Martin Pfaff
    Martin Pfaff is a German economist and politician known for his work in social policy and his tenure as a member of the Bundestag.
  • C. Bruno Wechner
    Bruno Wechner was an Austrian Roman Catholic prelate who became the inaugural bishop of the Diocese of Feldkirch.
  • D. Michael Fuchs
    Michael Fuchs is an actor known for his role in the independent drama film "12 and Holding."
  • E. Michael Fuchs
    Michael Fuchs is a businessman and hotelier best known for his ownership stake in New York City's historic Gramercy Park Hotel.
  • 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: Christian Pfister
Triple: [Pfister, hasNotableBearer, Christian Pfister]
Generated description
Christian Pfister is a Swiss historian and climate researcher known for his pioneering work on historical climatology and the social impacts of past climate variability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christian Pfister
Target entity description: Christian Pfister is a Swiss historian and climate researcher known for his pioneering work on historical climatology and the social impacts of past climate variability.
  • A. Christian Fuchs
    Christian Fuchs is an Austrian former professional footballer best known as a left-back for clubs such as Schalke 04 and Leicester City, with whom he won the 2015–16 Premier League title.
  • B. Martin Pfaff
    Martin Pfaff is a German economist and politician known for his work in social policy and his tenure as a member of the Bundestag.
  • C. Bruno Wechner
    Bruno Wechner was an Austrian Roman Catholic prelate who became the inaugural bishop of the Diocese of Feldkirch.
  • D. Michael Fuchs
    Michael Fuchs is an actor known for his role in the independent drama film "12 and Holding."
  • E. Michael Fuchs
    Michael Fuchs is a businessman and hotelier best known for his ownership stake in New York City's historic Gramercy Park Hotel.
  • 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580229688190a6e5e02b484033f7 completed April 29, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae0685c7881908d0ed5fee6d17b5f completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae4812f4481908ed0e00937419241 completed May 18, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae515d6808190bc7bee259c12ca6e completed May 18, 2026, 10:08 a.m.
Created at: April 16, 2026, 8:44 p.m.