Triple

T1263687
Position Surface form Disambiguated ID Type / Status
Subject Richard C. Tolman E12555 entity
Predicate familyName P18 FINISHED
Object Tolman
Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
 E145213 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: Tolman | Statement: [Richard C. Tolman, familyName, Tolman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tolman
Context triple: [Richard C. Tolman, familyName, Tolman]
  • A. Dewey
    Dewey is the main town and administrative center of the island-municipality of Culebra, Puerto Rico.
  • B. Dewey
    Dewey is a surname most famously associated with George Dewey, the U.S. naval officer celebrated for his victory at the Battle of Manila Bay during the Spanish–American War.
  • C. Ehrlich
    Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
  • D. Sylvester
    Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
  • E. Nourse
    Nourse is a surname and variant spelling of "Nurse," historically associated with English-speaking families and occasionally used as a place or business name.
  • 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: Tolman
Triple: [Richard C. Tolman, familyName, Tolman]
Generated description
Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tolman
Target entity description: Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
  • A. Dewey
    Dewey is the main town and administrative center of the island-municipality of Culebra, Puerto Rico.
  • B. Dewey
    Dewey is a surname most famously associated with George Dewey, the U.S. naval officer celebrated for his victory at the Battle of Manila Bay during the Spanish–American War.
  • C. Ehrlich
    Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
  • D. Sylvester
    Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
  • E. Nourse
    Nourse is a surname and variant spelling of "Nurse," historically associated with English-speaking families and occasionally used as a place or business name.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc8d6908190a5b2cf1051cc6d5e completed March 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9984c21c8190a1cec6c9d2df217a completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9a6c81548190a1647ef797355d53 completed March 7, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69ac9ac980f48190a23da8b222ec7601 completed March 7, 2026, 9:38 p.m.
Created at: March 1, 2026, 7:50 p.m.