Triple

T12351257
Position Surface form Disambiguated ID Type / Status
Subject Last Last E294491 entity
Predicate producer P490 FINISHED
Object MDS
MDS is a music producer known for collaborating with the artist Last Last.
 E977692 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: MDS | Statement: [Last Last, producer, MDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MDS
Context triple: [Last Last, producer, MDS]
  • A. MDS
    MDS is the commonly used abbreviation for the College of Medical and Dental Sciences, a higher education institution focused on training healthcare professionals and conducting medical research.
  • B. CLL
    CLL is the IATA airport code for Easterwood Airport, a regional airport serving College Station, Texas.
  • C. Leigh-Mallory
    Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
  • D. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • E. IIDH
    IIDH is a regional organization dedicated to promoting and protecting human rights throughout the Americas through education, research, and advocacy.
  • 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: MDS
Triple: [Last Last, producer, MDS]
Generated description
MDS is a music producer known for collaborating with the artist Last Last.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MDS
Target entity description: MDS is a music producer known for collaborating with the artist Last Last.
  • A. MDS
    MDS is the commonly used abbreviation for the College of Medical and Dental Sciences, a higher education institution focused on training healthcare professionals and conducting medical research.
  • B. CLL
    CLL is the IATA airport code for Easterwood Airport, a regional airport serving College Station, Texas.
  • C. Leigh-Mallory
    Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
  • D. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • E. IIDH
    IIDH is a regional organization dedicated to promoting and protecting human rights throughout the Americas through education, research, and advocacy.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7cbff08190849cd2aec4ce3243 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab066108190bba8eca95d3e0a81 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c569a6c8190aecf8a4c627d8893 completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d0c2568819083e66c8ae484d30d completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:53 p.m.