Triple

T20095178
Position Surface form Disambiguated ID Type / Status
Subject Trevor Huddleston E496380 entity
Predicate honorificSuffix P341 FINISHED
Object CR
CR is a post-nominal religious title indicating membership in the Anglican religious order known as the Community of the Resurrection.
E1411966 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: CR | Statement: [Trevor Huddleston, honorificSuffix, CR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CR
Context triple: [Trevor Huddleston, honorificSuffix, CR]
  • A. CR
    CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
  • B. CR
    CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
  • C. CR
    CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
  • D. CR
    CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
  • E. CR
    CR is the abbreviation for Companhia Real dos Caminhos de Ferro Portugueses, the former royal railway company that operated much of Portugal’s early rail network.
  • 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: CR
Triple: [Trevor Huddleston, honorificSuffix, CR]
Generated description
CR is a post-nominal religious title indicating membership in the Anglican religious order known as the Community of the Resurrection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CR
Target entity description: CR is a post-nominal religious title indicating membership in the Anglican religious order known as the Community of the Resurrection.
  • A. CR
    CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
  • B. CR
    CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
  • C. CR
    CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
  • D. CR
    CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
  • E. CR
    CR is the abbreviation for Companhia Real dos Caminhos de Ferro Portugueses, the former royal railway company that operated much of Portugal’s early rail network.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666b891c8190b4e4a60b73728771 completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082709bec8819085418d3d93108d81 completed May 16, 2026, 8:12 a.m.
NEDg Description generation batch_6a08287484c4819089414c2780377ba7 completed May 16, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_6a082a4275e48190b6643e43399d97af completed May 16, 2026, 8:26 a.m.
Created at: April 11, 2026, 11:24 p.m.