Triple

T7748038
Position Surface form Disambiguated ID Type / Status
Subject Edward Drinker Cope E175681 entity
Predicate familyName P18 FINISHED
Object Cope
Cope is a surname most famously associated with Edward Drinker Cope, a prominent 19th-century American paleontologist and comparative anatomist.
 E686175 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: Cope | Statement: [Edward Drinker Cope, familyName, Cope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cope
Context triple: [Edward Drinker Cope, familyName, Cope]
  • A. Deino
    Deino is one of the three Graeae in Greek mythology, ancient sea-daimones who shared a single eye and tooth among them and served as prophetic guardians.
  • B. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • C. Everardus
    Everardus is a Latinized given name historically used in medieval and early modern Europe, derived from the Germanic name Everard.
  • D. Coptos
    Coptos was an important ancient Egyptian city in Upper Egypt that served as a key religious and commercial center, especially for trade routes to the Red Sea and the Eastern Desert.
  • E. Coxen
    Coxen is a surname variant of Cox, typically of English origin.
  • 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: Cope
Triple: [Edward Drinker Cope, familyName, Cope]
Generated description
Cope is a surname most famously associated with Edward Drinker Cope, a prominent 19th-century American paleontologist and comparative anatomist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cope
Target entity description: Cope is a surname most famously associated with Edward Drinker Cope, a prominent 19th-century American paleontologist and comparative anatomist.
  • A. Deino
    Deino is one of the three Graeae in Greek mythology, ancient sea-daimones who shared a single eye and tooth among them and served as prophetic guardians.
  • B. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • C. Everardus
    Everardus is a Latinized given name historically used in medieval and early modern Europe, derived from the Germanic name Everard.
  • D. Coptos
    Coptos was an important ancient Egyptian city in Upper Egypt that served as a key religious and commercial center, especially for trade routes to the Red Sea and the Eastern Desert.
  • E. Coxen
    Coxen is a surname variant of Cox, typically of English origin.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703affb6c8190adf4723dc1139edf completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be50ac4881909b537f513bed2edd completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8bf9e93bc8190a4764967c06de4af completed March 29, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69c8c01bf3f08190a0071eff2c412e6e completed March 29, 2026, 6:01 a.m.
Created at: March 27, 2026, 4:08 p.m.