Triple

T6705552
Position Surface form Disambiguated ID Type / Status
Subject Boris Ord E152994 entity
Predicate familyName P18 FINISHED
Object Ord
Ord is a surname most notably associated with Boris Ord, the influential 20th-century English organist and choral conductor at King's College, Cambridge.
 E613915 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: Ord | Statement: [Boris Ord, familyName, Ord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ord
Context triple: [Boris Ord, familyName, Ord]
  • A. ORD
    ORD is the three-letter IATA airport code for Chicago O'Hare International Airport, one of the busiest air travel hubs in the United States.
  • B. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • C. OR
    OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
  • D. ORY
    ORY is the three-letter IATA airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
  • E. ORN
    ORN is the IATA airport code for Oran Ahmed Ben Bella Airport, the main international airport serving Oran in northwestern Algeria.
  • 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: Ord
Triple: [Boris Ord, familyName, Ord]
Generated description
Ord is a surname most notably associated with Boris Ord, the influential 20th-century English organist and choral conductor at King's College, Cambridge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ord
Target entity description: Ord is a surname most notably associated with Boris Ord, the influential 20th-century English organist and choral conductor at King's College, Cambridge.
  • A. ORD
    ORD is the three-letter IATA airport code for Chicago O'Hare International Airport, one of the busiest air travel hubs in the United States.
  • B. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • C. OR
    OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
  • D. ORY
    ORY is the three-letter IATA airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
  • E. ORN
    ORN is the IATA airport code for Oran Ahmed Ben Bella Airport, the main international airport serving Oran in northwestern Algeria.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0ea8cfc819081affc73603c2cf3 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70088916881908dda568d3116216f completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c7048843e081908b70942a91a390fe completed March 27, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_69c705240f54819094e8715ffd66b352 completed March 27, 2026, 10:31 p.m.
Created at: March 27, 2026, 2:06 p.m.