Triple

T9466658
Position Surface form Disambiguated ID Type / Status
Subject MIT Linguistics Section E228287 entity
Predicate notableAlumni P51 FINISHED
Object Mark Baker
Mark Baker is an influential American linguist known for his work in syntactic theory and the principles-and-parameters framework.
 E800849 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: Mark Baker | Statement: [MIT Linguistics Section, notableAlumni, Mark Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Baker
Context triple: [MIT Linguistics Section, notableAlumni, Mark Baker]
  • A. Martin Boyce
    Martin Boyce is a Scottish contemporary artist known for his atmospheric, sculptural installations that often reference modernist design and architecture.
  • B. BAM Fisher
    BAM Fisher is an intimate, flexible performance and community space within the Brooklyn Academy of Music complex that hosts experimental theater, dance, music, and arts events.
  • C. Graham Phillips
    Graham Phillips is an American actor and director best known for his roles in the TV series "The Good Wife" and films such as "Evan Almighty."
  • D. Nick Baker
    Nick Baker is a British naturalist and television presenter best known for hosting wildlife and nature programmes.
  • E. Ken Burnett
    Ken Burnett is a prominent fundraising expert and author known for his influential work on donor relationship fundraising and nonprofit communications.
  • 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: Mark Baker
Triple: [MIT Linguistics Section, notableAlumni, Mark Baker]
Generated description
Mark Baker is an influential American linguist known for his work in syntactic theory and the principles-and-parameters framework.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Baker
Target entity description: Mark Baker is an influential American linguist known for his work in syntactic theory and the principles-and-parameters framework.
  • A. Martin Boyce
    Martin Boyce is a Scottish contemporary artist known for his atmospheric, sculptural installations that often reference modernist design and architecture.
  • B. BAM Fisher
    BAM Fisher is an intimate, flexible performance and community space within the Brooklyn Academy of Music complex that hosts experimental theater, dance, music, and arts events.
  • C. Graham Phillips
    Graham Phillips is an American actor and director best known for his roles in the TV series "The Good Wife" and films such as "Evan Almighty."
  • D. Nick Baker
    Nick Baker is a British naturalist and television presenter best known for hosting wildlife and nature programmes.
  • E. Ken Burnett
    Ken Burnett is a prominent fundraising expert and author known for his influential work on donor relationship fundraising and nonprofit communications.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdc08f08190ad17de08d2c2eca2 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122ba3d948190a3fa947cd3cad63b completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d123bc10b88190bd8f5a543d32c788 completed April 4, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69d1243ba18881909c2adf7c0b4b93b8 completed April 4, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:53 p.m.