Triple

T19701679
Position Surface form Disambiguated ID Type / Status
Subject Axe murder incident E473112 entity
Predicate hasCasualty P1399 FINISHED
Object Mark T. Barrett
Mark T. Barrett was a victim who died in a notorious axe murder incident.
E1392001 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 T. Barrett | Statement: [Axe murder incident, hasCasualty, Mark T. Barrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark T. Barrett
Context triple: [Axe murder incident, hasCasualty, Mark T. Barrett]
  • A. Craig R. Barrett
    Craig R. Barrett is an American engineer and businessman best known for serving as CEO and later chairman of Intel Corporation, where he played a key role in the company’s global expansion and technological leadership.
  • B. Bryan T. Barry
    Bryan T. Barry was an American lawyer and politician who served as mayor of Dallas, Texas, in the late 19th century.
  • C. Michael Barrett
    Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
  • D. Craig R. Baxley
    Craig R. Baxley is an American film and television director and former stunt coordinator known for his work on high-octane action projects in the 1980s and 1990s.
  • E. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • 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 T. Barrett
Triple: [Axe murder incident, hasCasualty, Mark T. Barrett]
Generated description
Mark T. Barrett was a victim who died in a notorious axe murder incident.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mark T. Barrett
Target entity description: Mark T. Barrett was a victim who died in a notorious axe murder incident.
  • A. Craig R. Barrett
    Craig R. Barrett is an American engineer and businessman best known for serving as CEO and later chairman of Intel Corporation, where he played a key role in the company’s global expansion and technological leadership.
  • B. Bryan T. Barry
    Bryan T. Barry was an American lawyer and politician who served as mayor of Dallas, Texas, in the late 19th century.
  • C. Michael Barrett
    Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
  • D. Craig R. Baxley
    Craig R. Baxley is an American film and television director and former stunt coordinator known for his work on high-octane action projects in the 1980s and 1990s.
  • E. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b667908190841bb5fb7bfdb3f7 completed April 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4e862088190b56360981fabc66a completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b57145808190a59fce6d80935101 completed May 16, 2026, 12:08 a.m.
NED2 Entity disambiguation (via description) batch_6a07b5cc3f788190bd9bf8c76234be75 completed May 16, 2026, 12:09 a.m.
Created at: April 10, 2026, 1:46 p.m.