Triple

T864457
Position Surface form Disambiguated ID Type / Status
Subject James Bond E18670 entity
Predicate codeName P744 FINISHED
Object 007
007 is the iconic numerical code designation of the fictional British secret agent James Bond in Ian Fleming’s spy franchise.
 E101247 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: 007 | Statement: [James Bond, codeName, 007]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 007
Context triple: [James Bond, codeName, 007]
  • A. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • B. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • C. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • D. Po
    The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
  • E. .mo
    .mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
  • 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: 007
Triple: [James Bond, codeName, 007]
Generated description
007 is the iconic numerical code designation of the fictional British secret agent James Bond in Ian Fleming’s spy franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 007
Target entity description: 007 is the iconic numerical code designation of the fictional British secret agent James Bond in Ian Fleming’s spy franchise.
  • A. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • B. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • C. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • D. Po
    The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
  • E. .mo
    .mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac6956488190a5644cdd5b55684f completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c7999c81908b2f27610c263b7f completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a5a452f88190ad560d33ab42d71f completed March 4, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69a7a63398f081908b63b4f79aa81f85 completed March 4, 2026, 3:25 a.m.
Created at: March 1, 2026, 7:39 p.m.