Triple

T8749066
Position Surface form Disambiguated ID Type / Status
Subject Hood E207907 entity
Predicate hasNotableBearer P458 FINISHED
Object Tom Hood (writer)
Tom Hood was a 19th-century English humorist, poet, and editor known for his light verse and for continuing the literary legacy of his father, Thomas Hood.
 E755352 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: Tom Hood (writer) | Statement: [Hood, hasNotableBearer, Tom Hood (writer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Hood (writer)
Context triple: [Hood, hasNotableBearer, Tom Hood (writer)]
  • A. Alex Tarrant
    Alex Tarrant is a New Zealand actor known for his roles in television dramas and action series, including a lead role on NCIS: Hawaiʻi.
  • B. Colin Wright
    Colin Wright is known primarily as the son of acclaimed American college basketball coach Jay Wright.
  • C. David Black
    David Black is an American television writer and producer best known for his work on crime and mystery series.
  • D. Ben Hood
    Ben Hood is the emotionally distant, adulterous suburban father at the center of the 1970s-set drama "The Ice Storm," whose personal and familial crises unfold during a Thanksgiving weekend.
  • E. Ken Hood
    Ken Hood is the protagonist of the film "Welcome to L.A.," around whom the story’s interpersonal and emotional dynamics revolve.
  • 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: Tom Hood (writer)
Triple: [Hood, hasNotableBearer, Tom Hood (writer)]
Generated description
Tom Hood was a 19th-century English humorist, poet, and editor known for his light verse and for continuing the literary legacy of his father, Thomas Hood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Hood (writer)
Target entity description: Tom Hood was a 19th-century English humorist, poet, and editor known for his light verse and for continuing the literary legacy of his father, Thomas Hood.
  • A. Alex Tarrant
    Alex Tarrant is a New Zealand actor known for his roles in television dramas and action series, including a lead role on NCIS: Hawaiʻi.
  • B. Colin Wright
    Colin Wright is known primarily as the son of acclaimed American college basketball coach Jay Wright.
  • C. David Black
    David Black is an American television writer and producer best known for his work on crime and mystery series.
  • D. Ben Hood
    Ben Hood is the emotionally distant, adulterous suburban father at the center of the 1970s-set drama "The Ice Storm," whose personal and familial crises unfold during a Thanksgiving weekend.
  • E. Ken Hood
    Ken Hood is the protagonist of the film "Welcome to L.A.," around whom the story’s interpersonal and emotional dynamics revolve.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da4214881908b6917f847c43cb5 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4313630881909b946cb8a2bdf793 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf4462da648190a621397fa88dd4bd completed April 3, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf454c4d248190a925b15c23af1a24 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:39 p.m.