Triple

T8647098
Position Surface form Disambiguated ID Type / Status
Subject Frederic Clements E205003 entity
Predicate familyName P18 FINISHED
Object Clements
Clements is a surname most notably associated with American plant ecologist Frederic Clements, a pioneer in the study of ecological succession.
E747797 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: Clements | Statement: [Frederic Clements, familyName, Clements]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clements
Context triple: [Frederic Clements, familyName, Clements]
  • A. Clem
    Clem is a short, informal given name typically used as a diminutive of Clement.
  • B. Mathieson
    Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
  • C. Cressner
    Cressner is the sadistic, wealthy gambler and primary villain in Stephen King’s short story “The Ledge,” known for forcing a man to risk his life by walking around a narrow ledge high above the city.
  • D. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • E. Bridgman
    Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
  • 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: Clements
Triple: [Frederic Clements, familyName, Clements]
Generated description
Clements is a surname most notably associated with American plant ecologist Frederic Clements, a pioneer in the study of ecological succession.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clements
Target entity description: Clements is a surname most notably associated with American plant ecologist Frederic Clements, a pioneer in the study of ecological succession.
  • A. Clem
    Clem is a short, informal given name typically used as a diminutive of Clement.
  • B. Mathieson
    Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
  • C. Cressner
    Cressner is the sadistic, wealthy gambler and primary villain in Stephen King’s short story “The Ledge,” known for forcing a man to risk his life by walking around a narrow ledge high above the city.
  • D. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • E. Bridgman
    Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48112b4881908901214f41b6bf71 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc4883cc8190a6fb72005ca99512 completed April 2, 2026, 6:58 p.m.
NEDg Description generation batch_69cebd2cb2e481909a2862e79482c37a completed April 2, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69cebdd77b6c81908c35ee96dfe053d8 completed April 2, 2026, 7:04 p.m.
Created at: March 30, 2026, 6:29 p.m.