Triple

T5775072
Position Surface form Disambiguated ID Type / Status
Subject Gerhard Ertl E127419 entity
Predicate familyName P18 FINISHED
Object Ertl
Ertl is a German surname most notably associated with Nobel Prize–winning physicist and surface chemist Gerhard Ertl.
 E545046 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: Ertl | Statement: [Gerhard Ertl, familyName, Ertl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ertl
Context triple: [Gerhard Ertl, familyName, Ertl]
  • A. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • B. Oeffelt
    Oeffelt is a village in the Dutch province of North Brabant, situated near the river Meuse and known for its rural character and historic church.
  • C. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • D. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • E. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • 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: Ertl
Triple: [Gerhard Ertl, familyName, Ertl]
Generated description
Ertl is a German surname most notably associated with Nobel Prize–winning physicist and surface chemist Gerhard Ertl.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ertl
Target entity description: Ertl is a German surname most notably associated with Nobel Prize–winning physicist and surface chemist Gerhard Ertl.
  • A. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • B. Oeffelt
    Oeffelt is a village in the Dutch province of North Brabant, situated near the river Meuse and known for its rural character and historic church.
  • C. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • D. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • E. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029b0aa1c8190bf513212cfead33c completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e6bf6348190b0ba46253585c7d9 completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c08d6c7e9c8190ab38d9918cc67c2a completed March 23, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c08decf8108190b6b5fe8efd41387c completed March 23, 2026, 12:48 a.m.
Created at: March 22, 2026, 3:50 p.m.