Triple

T10616706
Position Surface form Disambiguated ID Type / Status
Subject Kenner, Louisiana E276138 entity
Predicate namedAfter P63 FINISHED
Object William Kenner
William Kenner was a prominent landowner and sugar planter in Louisiana after whom the city of Kenner was named.
E895834 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: William Kenner | Statement: [Kenner, Louisiana, namedAfter, William Kenner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Kenner
Context triple: [Kenner, Louisiana, namedAfter, William Kenner]
  • A. Vernan Keenan
    Vernan Keenan was an American roller coaster designer best known for creating the iconic Cyclone wooden coaster at Coney Island.
  • B. Henry McMorran
    Henry McMorran was a prominent local figure and benefactor in Port Huron, Michigan, whose contributions to the community led to the city’s main event center being named in his honor.
  • C. Guy Stockwell
    Guy Stockwell was an American film and television actor known for his prolific character roles from the 1950s through the 1980s.
  • D. Max Dennison
    Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
  • E. Robert Keene
    Robert Keene was the husband of American Abstract Expressionist painter Grace Hartigan.
  • 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: William Kenner
Triple: [Kenner, Louisiana, namedAfter, William Kenner]
Generated description
William Kenner was a prominent landowner and sugar planter in Louisiana after whom the city of Kenner was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: William Kenner
Target entity description: William Kenner was a prominent landowner and sugar planter in Louisiana after whom the city of Kenner was named.
  • A. Vernan Keenan
    Vernan Keenan was an American roller coaster designer best known for creating the iconic Cyclone wooden coaster at Coney Island.
  • B. Henry McMorran
    Henry McMorran was a prominent local figure and benefactor in Port Huron, Michigan, whose contributions to the community led to the city’s main event center being named in his honor.
  • C. Guy Stockwell
    Guy Stockwell was an American film and television actor known for his prolific character roles from the 1950s through the 1980s.
  • D. Max Dennison
    Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
  • E. Robert Keene
    Robert Keene was the husband of American Abstract Expressionist painter Grace Hartigan.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6e2df4819099a19b59d90d0dd1 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e23b1c5e4c81909628c77b80805353 completed April 17, 2026, 1:52 p.m.
NEDg Description generation batch_69e2453f6f008190847298f4006290f7 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e288b1d64c8190b31313634b706d0a completed April 17, 2026, 7:23 p.m.
Created at: April 8, 2026, 7:33 p.m.