Triple

T5236085
Position Surface form Disambiguated ID Type / Status
Subject Exeter Book E118223 entity
Predicate catalogNumber P8090 FINISHED
Object MS 3501
MS 3501 is the library catalog designation for the Exeter Book, a major 10th-century manuscript of Old English poetry housed at Exeter Cathedral.
 E505437 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: MS 3501 | Statement: [Exeter Book, catalogNumber, MS 3501]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MS 3501
Context triple: [Exeter Book, catalogNumber, MS 3501]
  • A. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • B. MSR
    MSR is the ICAO airline designator used to identify EgyptAir in international aviation operations.
  • C. MSA
    MSA is the standardized, literary form of Arabic used in formal writing, media, education, and official communication across the Arab world.
  • D. MSA
    MSA is a common abbreviation for a metropolitan statistical area, a region defined by the U.S. Office of Management and Budget for statistical and demographic analysis.
  • E. MSA
    MSA is the commonly used abbreviation for the Magnuson–Stevens Fishery Conservation and Management Act, the primary law governing marine fisheries management in U.S. federal waters.
  • 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: MS 3501
Triple: [Exeter Book, catalogNumber, MS 3501]
Generated description
MS 3501 is the library catalog designation for the Exeter Book, a major 10th-century manuscript of Old English poetry housed at Exeter Cathedral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MS 3501
Target entity description: MS 3501 is the library catalog designation for the Exeter Book, a major 10th-century manuscript of Old English poetry housed at Exeter Cathedral.
  • A. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • B. MSR
    MSR is the ICAO airline designator used to identify EgyptAir in international aviation operations.
  • C. MSA
    MSA is the standardized, literary form of Arabic used in formal writing, media, education, and official communication across the Arab world.
  • D. MSA
    MSA is a common abbreviation for a metropolitan statistical area, a region defined by the U.S. Office of Management and Budget for statistical and demographic analysis.
  • E. MSA
    MSA is the commonly used abbreviation for the Magnuson–Stevens Fishery Conservation and Management Act, the primary law governing marine fisheries management in U.S. federal waters.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2595c88190b4ca0b99c2f31472 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef81cca948190ab00302787367f43 completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69befa15850481908fd414672620e0a3 completed March 21, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_69befa65a42c81908b8fe5661e9567cb completed March 21, 2026, 8:07 p.m.
Created at: March 20, 2026, 1:49 p.m.