Triple

T19378923
Position Surface form Disambiguated ID Type / Status
Subject Charley Eckman E484745 entity
Predicate familyName P18 FINISHED
Object Eckman
Eckman is a surname most notably associated with Charley Eckman, an American basketball referee, coach, and sportscaster.
 E1372458 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: Eckman | Statement: [Charley Eckman, familyName, Eckman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eckman
Context triple: [Charley Eckman, familyName, Eckman]
  • A. Ekman
    Ekman is a Swedish surname borne by several notable figures in Sweden’s cultural and public life.
  • B. Sverdrup
    A sverdrup is an oceanographic unit of volume transport equal to one million cubic meters of seawater per second, commonly used to quantify large-scale ocean currents.
  • C. Schuchardt
    Schuchardt was a notable chemist whose contributions to the field were significant enough to have the Merck–Schuchardt Award named in his honor.
  • D. Saffman
    Saffman is a surname most notably associated with Philip G. Saffman, a prominent British-American applied mathematician and fluid dynamicist.
  • E. Rudman
    Rudman is a surname most notably associated with Warren Rudman, a prominent American politician who served as a U.S. Senator from New Hampshire.
  • 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: Eckman
Triple: [Charley Eckman, familyName, Eckman]
Generated description
Eckman is a surname most notably associated with Charley Eckman, an American basketball referee, coach, and sportscaster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eckman
Target entity description: Eckman is a surname most notably associated with Charley Eckman, an American basketball referee, coach, and sportscaster.
  • A. Ekman
    Ekman is a Swedish surname borne by several notable figures in Sweden’s cultural and public life.
  • B. Sverdrup
    A sverdrup is an oceanographic unit of volume transport equal to one million cubic meters of seawater per second, commonly used to quantify large-scale ocean currents.
  • C. Schuchardt
    Schuchardt was a notable chemist whose contributions to the field were significant enough to have the Merck–Schuchardt Award named in his honor.
  • D. Saffman
    Saffman is a surname most notably associated with Philip G. Saffman, a prominent British-American applied mathematician and fluid dynamicist.
  • E. Rudman
    Rudman is a surname most notably associated with Warren Rudman, a prominent American politician who served as a U.S. Senator from New Hampshire.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a5e8e7081908bed3eee1eef4de2 completed April 20, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0724200f348190a3fe582e9e2c5105 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a072550bf2881909ceb6b91b597762b completed May 15, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a07272e260c8190aa370620d576b830 completed May 15, 2026, 2:01 p.m.
Created at: April 10, 2026, 1:35 p.m.