Triple

T14199696
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm Tempel E351930 entity
Predicate familyName P18 FINISHED
Object Tempel
Tempel is a surname most notably associated with Wilhelm Tempel, a 19th-century German astronomer known for discovering several comets and asteroids.
 E1085641 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: Tempel | Statement: [Wilhelm Tempel, familyName, Tempel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tempel
Context triple: [Wilhelm Tempel, familyName, Tempel]
  • A. Chabot
    Chabot is a surname most notably associated with Anthony Chabot, a 19th-century entrepreneur and pioneer in California’s water supply and hydraulic mining industries.
  • B. Gooderich
    Gooderich is an alternative spelling of the surname Goodrich, which is associated with various people, places, and companies of English origin.
  • C. Kniphausen
    Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
  • D. Dunlap
    Dunlap is a residential neighborhood in Seattle’s Rainier Valley known for its diverse community and proximity to Lake Washington.
  • E. Dunlap
    Dunlap is a minor character in the play "Inherit the Wind," appearing as one of the townspeople involved in the trial’s tense, small-town atmosphere.
  • 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: Tempel
Triple: [Wilhelm Tempel, familyName, Tempel]
Generated description
Tempel is a surname most notably associated with Wilhelm Tempel, a 19th-century German astronomer known for discovering several comets and asteroids.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tempel
Target entity description: Tempel is a surname most notably associated with Wilhelm Tempel, a 19th-century German astronomer known for discovering several comets and asteroids.
  • A. Chabot
    Chabot is a surname most notably associated with Anthony Chabot, a 19th-century entrepreneur and pioneer in California’s water supply and hydraulic mining industries.
  • B. Gooderich
    Gooderich is an alternative spelling of the surname Goodrich, which is associated with various people, places, and companies of English origin.
  • C. Kniphausen
    Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
  • D. Dunlap
    Dunlap is a residential neighborhood in Seattle’s Rainier Valley known for its diverse community and proximity to Lake Washington.
  • E. Dunlap
    Dunlap is a minor character in the play "Inherit the Wind," appearing as one of the townspeople involved in the trial’s tense, small-town atmosphere.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f472548190a1a7edc40526eac3 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194f13688190af7ef5ceb92a73ff completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1b198c6c81909b71a51a39711754 completed May 7, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fd1bb585448190bc3393304980b808 completed May 7, 2026, 11:09 p.m.
Created at: April 10, 2026, 1:04 a.m.