Triple

T4093106
Position Surface form Disambiguated ID Type / Status
Subject Mutual Security Program E87749 entity
Predicate alsoKnownAs P39 FINISHED
Object MSP
MSP, short for the Mutual Security Program, was a U.S. Cold War-era foreign aid initiative designed to strengthen allies’ military and economic stability against communist influence.
 E412960 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: MSP | Statement: [Mutual Security Program, alsoKnownAs, MSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSP
Context triple: [Mutual Security Program, alsoKnownAs, MSP]
  • A. MSP
    MSP stands for Member of the Scottish Parliament, an elected representative in Scotland's devolved legislature.
  • B. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety across the Commonwealth of Massachusetts.
  • C. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in Maryland.
  • D. MSP
    MSP is the primary international airport serving the Minneapolis–Saint Paul metropolitan area in Minnesota, USA.
  • E. MCS
    MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
  • 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: MSP
Triple: [Mutual Security Program, alsoKnownAs, MSP]
Generated description
MSP, short for the Mutual Security Program, was a U.S. Cold War-era foreign aid initiative designed to strengthen allies’ military and economic stability against communist influence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSP
Target entity description: MSP, short for the Mutual Security Program, was a U.S. Cold War-era foreign aid initiative designed to strengthen allies’ military and economic stability against communist influence.
  • A. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety across the Commonwealth of Massachusetts.
  • B. MSP
    MSP stands for Member of the Scottish Parliament, an elected representative in Scotland's devolved legislature.
  • C. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in Maryland.
  • D. MSP
    MSP is the primary international airport serving the Minneapolis–Saint Paul metropolitan area in Minnesota, USA.
  • E. MCS
    MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcda2f408190bcf2b64535193162 completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6cfb288190ac08c3a37327ac9a completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56cd11b5c8190b7e7c9c91b6564b6 completed March 14, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_69b56d3ff45881909f8b2c21ce51e0f0 completed March 14, 2026, 2:14 p.m.
Created at: March 9, 2026, 3:40 p.m.