Triple

T6055504
Position Surface form Disambiguated ID Type / Status
Subject Sidney Drell E134899 entity
Predicate familyName P18 FINISHED
Object Drell
Drell is a surname most notably associated with Sidney Drell, an influential American theoretical physicist and arms control expert.
 E564132 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: Drell | Statement: [Sidney Drell, familyName, Drell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Drell
Context triple: [Sidney Drell, familyName, Drell]
  • A. Daboll
    Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
  • B. Darek
    Darek is a given name, typically a variant spelling of Derek used in various European countries.
  • C. Darrell
    Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
  • D. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • E. Toran Darell
    Toran Darell is a central character in Isaac Asimov's Foundation series, notably appearing as a key figure in the novel "Foundation and Empire."
  • 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: Drell
Triple: [Sidney Drell, familyName, Drell]
Generated description
Drell is a surname most notably associated with Sidney Drell, an influential American theoretical physicist and arms control expert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Drell
Target entity description: Drell is a surname most notably associated with Sidney Drell, an influential American theoretical physicist and arms control expert.
  • A. Daboll
    Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
  • B. Darek
    Darek is a given name, typically a variant spelling of Derek used in various European countries.
  • C. Darrell
    Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
  • D. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • E. Toran Darell
    Toran Darell is a central character in Isaac Asimov's Foundation series, notably appearing as a key figure in the novel "Foundation and Empire."
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570a863c819090291775245708d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113b06d188190839cfc48a2461d65 completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c114dcc99481909163f0f40f1a6358 completed March 23, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69c115552c188190b500d96e86410180 completed March 23, 2026, 10:26 a.m.
Created at: March 22, 2026, 4:09 p.m.