Triple

T11343612
Position Surface form Disambiguated ID Type / Status
Subject Veronica Hamel E268660 entity
Predicate appearedIn P795 FINISHED
Object Cannon
"Cannon" is a 1970s American television crime drama series centered on the cases of a tough, overweight private detective named Frank Cannon.
 E920585 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: Cannon | Statement: [Veronica Hamel, appearedIn, Cannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cannon
Context triple: [Veronica Hamel, appearedIn, Cannon]
  • A. Cannon
    Cannon is a historic American textile and home goods brand best known for its towels, bedding, and other household linens.
  • B. Cannon
    Cannon is a common English surname borne by various notable individuals across entertainment, sports, and public life.
  • C. The Cannon
    The Cannon is the ring nickname of Shannon Briggs, an American heavyweight boxer and former world champion known for his punching power and outspoken personality.
  • D. Cannons
    Cannons was the lavish early-18th-century English country house and estate built for James Brydges, 1st Duke of Chandos, renowned for its opulence and association with composer George Frideric Handel.
  • E. Fussilat
    Fussilat is the 41st chapter of the Qur’an, known for its detailed exposition of divine revelation, signs in creation, and the consequences of accepting or rejecting the message.
  • 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: Cannon
Triple: [Veronica Hamel, appearedIn, Cannon]
Generated description
"Cannon" is a 1970s American television crime drama series centered on the cases of a tough, overweight private detective named Frank Cannon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cannon
Target entity description: "Cannon" is a 1970s American television crime drama series centered on the cases of a tough, overweight private detective named Frank Cannon.
  • A. Cannon
    Cannon is a common English surname borne by various notable individuals across entertainment, sports, and public life.
  • B. Cannon
    Cannon is a historic American textile and home goods brand best known for its towels, bedding, and other household linens.
  • C. The Cannon
    The Cannon is the ring nickname of Shannon Briggs, an American heavyweight boxer and former world champion known for his punching power and outspoken personality.
  • D. Cannons
    Cannons was the lavish early-18th-century English country house and estate built for James Brydges, 1st Duke of Chandos, renowned for its opulence and association with composer George Frideric Handel.
  • E. Fussilat
    Fussilat is the 41st chapter of the Qur’an, known for its detailed exposition of divine revelation, signs in creation, and the consequences of accepting or rejecting the message.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1e360c8190a02d1e2d1d6f4b5d completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5435f4e288190b9b0029dc35bf2c5 completed April 19, 2026, 9:04 p.m.
NEDg Description generation batch_69e5474aad3481909c1afb385cb5889b completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54edb9ac08190a760de11857e791c completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.