Triple

T17341415
Position Surface form Disambiguated ID Type / Status
Subject Combs E421073 entity
Predicate hasNotableBearer P458 FINISHED
Object Norman Combs
Norman Combs is an individual notable enough to be specifically cited as a bearer of the surname Combs.
E1262430 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: Norman Combs | Statement: [Combs, hasNotableBearer, Norman Combs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Combs
Context triple: [Combs, hasNotableBearer, Norman Combs]
  • A. Norman Reynolds
    Norman Reynolds was a British production designer and art director best known for his Oscar-winning work on the original Star Wars and Raiders of the Lost Ark.
  • B. Terry Coombs
    Terry Coombs is a character in Stephen King and Owen King's novel "Sleeping Beauties," involved in the mysterious global phenomenon that causes women to fall into an otherworldly sleep.
  • C. Norman Forsey
    Norman Forsey is an actor known for playing Hamfast "Gaffer" Gamgee in an adaptation of J.R.R. Tolkien's The Lord of the Rings.
  • D. Norman Riley
    Norman Riley is a distinguished mathematician and fluid dynamicist recognized for his influential contributions to theoretical and applied fluid mechanics.
  • E. Norman Grant
    Norman Grant is a fictional character from the science fiction novel "Space" by James A. Michener.
  • 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: Norman Combs
Triple: [Combs, hasNotableBearer, Norman Combs]
Generated description
Norman Combs is an individual notable enough to be specifically cited as a bearer of the surname Combs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norman Combs
Target entity description: Norman Combs is an individual notable enough to be specifically cited as a bearer of the surname Combs.
  • A. Norman Reynolds
    Norman Reynolds was a British production designer and art director best known for his Oscar-winning work on the original Star Wars and Raiders of the Lost Ark.
  • B. Terry Coombs
    Terry Coombs is a character in Stephen King and Owen King's novel "Sleeping Beauties," involved in the mysterious global phenomenon that causes women to fall into an otherworldly sleep.
  • C. Norman Forsey
    Norman Forsey is an actor known for playing Hamfast "Gaffer" Gamgee in an adaptation of J.R.R. Tolkien's The Lord of the Rings.
  • D. Norman Riley
    Norman Riley is a distinguished mathematician and fluid dynamicist recognized for his influential contributions to theoretical and applied fluid mechanics.
  • E. Norman Grant
    Norman Grant is a fictional character from the science fiction novel "Space" by James A. Michener.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a15f6488190ad7d489e7391ab12 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c588a7081909ab108cb4adfedfe completed May 11, 2026, 7:59 a.m.
NEDg Description generation batch_6a018e0f09c881909296656b2732bf1e completed May 11, 2026, 8:06 a.m.
NED2 Entity disambiguation (via description) batch_6a018e7b453c81909f75593237bcf9ec completed May 11, 2026, 8:08 a.m.
Created at: April 10, 2026, 5:44 a.m.