Triple

T9946971
Position Surface form Disambiguated ID Type / Status
Subject Ben Mears E195227 entity
Predicate ally P4662 FINISHED
Object Matt Burke
Matt Burke is a retired English teacher and key supporting character in Stephen King’s novel "’Salem’s Lot," who helps protagonist Ben Mears confront the town’s growing vampire threat.
E839095 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: Matt Burke | Statement: [Ben Mears, ally, Matt Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Burke
Context triple: [Ben Mears, ally, Matt Burke]
  • A. Matt Burke
    Matt Burke is a retired Australian rugby union player renowned for his long and successful career with the Wallabies and the New South Wales Waratahs, primarily as a fullback and goal-kicker.
  • B. Kevin Burke
    Kevin Burke is an acclaimed Irish fiddler best known for his influential work in traditional Irish music and collaborations with prominent folk groups and artists.
  • C. Dave Burke
    Dave Burke is a central character in the 1959 film noir "Odds Against Tomorrow," depicted as a former police officer who masterminds a high-stakes bank heist.
  • D. Mike Burrows
    Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
  • E. Matt Curtis
    Matt Curtis is a cinematographer known for his work on the film "Amy."
  • 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: Matt Burke
Triple: [Ben Mears, ally, Matt Burke]
Generated description
Matt Burke is a retired English teacher and key supporting character in Stephen King’s novel "’Salem’s Lot," who helps protagonist Ben Mears confront the town’s growing vampire threat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matt Burke
Target entity description: Matt Burke is a retired English teacher and key supporting character in Stephen King’s novel "’Salem’s Lot," who helps protagonist Ben Mears confront the town’s growing vampire threat.
  • A. Matt Burke
    Matt Burke is a retired Australian rugby union player renowned for his long and successful career with the Wallabies and the New South Wales Waratahs, primarily as a fullback and goal-kicker.
  • B. Kevin Burke
    Kevin Burke is an acclaimed Irish fiddler best known for his influential work in traditional Irish music and collaborations with prominent folk groups and artists.
  • C. Dave Burke
    Dave Burke is a central character in the 1959 film noir "Odds Against Tomorrow," depicted as a former police officer who masterminds a high-stakes bank heist.
  • D. Mike Burrows
    Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
  • E. Matt Curtis
    Matt Curtis is a cinematographer known for his work on the film "Amy."
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb657b35c81909448e93999f6e77c completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d299e3d5fc8190a953be3ebd8250e6 completed April 5, 2026, 5:20 p.m.
NEDg Description generation batch_69d29b985e308190a6ec3966e02f429c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c5f64c881909aa3d093422fe475 completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:45 p.m.