Triple

T1896880
Position Surface form Disambiguated ID Type / Status
Subject Steve Crocker E37602 entity
Predicate familyName P18 FINISHED
Object Crocker
Crocker is a surname of English origin borne by various notable individuals across fields such as technology, sports, and the arts.
 E211680 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: Crocker | Statement: [Steve Crocker, familyName, Crocker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crocker
Context triple: [Steve Crocker, familyName, Crocker]
  • A. Sutter
    Sutter is a surname of German origin most notably associated with John Sutter, a 19th-century pioneer linked to the California Gold Rush.
  • B. Cutler
    Cutler is the surname of Jay Cutler, a former NFL quarterback best known for his tenure with the Chicago Bears.
  • C. Riggs
    Riggs is a surname most notably associated with American playwright Lynn Riggs, whose work inspired the musical "Oklahoma!".
  • D. Donner
    Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
  • E. Merrill
    Merrill is a surname most notably associated with American actor Gary Merrill, known for his work in mid-20th-century film and television.
  • 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: Crocker
Triple: [Steve Crocker, familyName, Crocker]
Generated description
Crocker is a surname of English origin borne by various notable individuals across fields such as technology, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crocker
Target entity description: Crocker is a surname of English origin borne by various notable individuals across fields such as technology, sports, and the arts.
  • A. Sutter
    Sutter is a surname of German origin most notably associated with John Sutter, a 19th-century pioneer linked to the California Gold Rush.
  • B. Cutler
    Cutler is the surname of Jay Cutler, a former NFL quarterback best known for his tenure with the Chicago Bears.
  • C. Riggs
    Riggs is a surname most notably associated with American playwright Lynn Riggs, whose work inspired the musical "Oklahoma!".
  • D. Donner
    Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
  • E. Merrill
    Merrill is a surname most notably associated with American actor Gary Merrill, known for his work in mid-20th-century film and television.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16f416c8190a49b24523b3a7f85 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaee6a048190afd01ab6339a2921 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb6f7f208190af892c3c25961438 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adec28f9188190a58e1a9d792943f6 completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:35 p.m.