Triple

T4073146
Position Surface form Disambiguated ID Type / Status
Subject The MAC (Metropolitan Arts Centre) E86694 entity
Predicate shortName P43 FINISHED
Object The MAC
The MAC is a contemporary arts venue in Belfast, Northern Ireland, known for hosting visual art exhibitions, theatre performances, and other cultural events.
E411947 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: The MAC | Statement: [The MAC (Metropolitan Arts Centre), shortName, The MAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The MAC
Context triple: [The MAC (Metropolitan Arts Centre), shortName, The MAC]
  • A. MACAS
    MACAS is the UN/LOCODE identifier assigned to the Port of Casablanca in Morocco for international trade and transport logistics.
  • B. Mac MacGuff
    Mac MacGuff is the supportive and straightforward father of the pregnant teenage protagonist in the film "Juno."
  • C. KMAC
    KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, in the United States.
  • D. MAC
    MAC is the acronym for the Military Armistice Commission, the body responsible for supervising the implementation of the Korean Armistice Agreement.
  • E. MAC
    The MAC is an NCAA Division III athletic conference in the Middle Atlantic region of the United States, sponsoring intercollegiate sports among its member colleges and universities.
  • 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: The MAC
Triple: [The MAC (Metropolitan Arts Centre), shortName, The MAC]
Generated description
The MAC is a contemporary arts venue in Belfast, Northern Ireland, known for hosting visual art exhibitions, theatre performances, and other cultural events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The MAC
Target entity description: The MAC is a contemporary arts venue in Belfast, Northern Ireland, known for hosting visual art exhibitions, theatre performances, and other cultural events.
  • A. MACAS
    MACAS is the UN/LOCODE identifier assigned to the Port of Casablanca in Morocco for international trade and transport logistics.
  • B. Mac MacGuff
    Mac MacGuff is the supportive and straightforward father of the pregnant teenage protagonist in the film "Juno."
  • C. KMAC
    KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, in the United States.
  • D. MAC
    MAC is the acronym for the Military Armistice Commission, the body responsible for supervising the implementation of the Korean Armistice Agreement.
  • E. MAC
    The MAC is an NCAA Division III athletic conference in the Middle Atlantic region of the United States, sponsoring intercollegiate sports among its member colleges and universities.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc22be988190a2b6575d4f5e0f7b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562bc05948190a9ad709768420588 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563b3db0481909f3dd2a9e6a88e6e completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b567e223cc8190aa1d7e827e6c70fd completed March 14, 2026, 1:51 p.m.
Created at: March 9, 2026, 3:38 p.m.