Triple

T21576855
Position Surface form Disambiguated ID Type / Status
Subject Maine State Music Theatre E532415 entity
Predicate abbreviation P43 FINISHED
Object MSMT
MSMT is the commonly used abbreviation for Maine State Music Theatre, a professional summer musical theatre company based in Brunswick, Maine.
 E1491661 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: MSMT | Statement: [Maine State Music Theatre, abbreviation, MSMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSMT
Context triple: [Maine State Music Theatre, abbreviation, MSMT]
  • A. MMSM
    MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • B. MBTS
    MBTS is a Southern Baptist seminary in Kansas City, Missouri, focused on training pastors, missionaries, and church leaders for Christian ministry.
  • C. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • D. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • E. MTS
    MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
  • 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: MSMT
Triple: [Maine State Music Theatre, abbreviation, MSMT]
Generated description
MSMT is the commonly used abbreviation for Maine State Music Theatre, a professional summer musical theatre company based in Brunswick, Maine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSMT
Target entity description: MSMT is the commonly used abbreviation for Maine State Music Theatre, a professional summer musical theatre company based in Brunswick, Maine.
  • A. MMSM
    MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • B. MBTS
    MBTS is a Southern Baptist seminary in Kansas City, Missouri, focused on training pastors, missionaries, and church leaders for Christian ministry.
  • C. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • D. MTS
    MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
  • E. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9d07ddc8190a4bba08223e56f46 completed April 27, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f67679c881908cabb5b7f3e8dcb7 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f6e046e48190a65e3d164c14e4b3 completed May 17, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09f7e525a88190a37680187b5b0916 completed May 17, 2026, 5:16 p.m.
Created at: April 16, 2026, 6:31 p.m.