Triple

T17336835
Position Surface form Disambiguated ID Type / Status
Subject Tibbetts E420957 entity
Predicate hasNotableBearer P458 FINISHED
Object Tim Tibbetts
Tim Tibbetts is an individual notable enough to be specifically cited as a bearer of the surname Tibbetts.
E1263345 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: Tim Tibbetts | Statement: [Tibbetts, hasNotableBearer, Tim Tibbetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Tibbetts
Context triple: [Tibbetts, hasNotableBearer, Tim Tibbetts]
  • A. Victor O'Hare
    Victor O'Hare was the son of prominent American socialist and antiwar activist Kate Richards O'Hare.
  • B. George Tibbets
    George Tibbets is a person notable enough to be recognized as a bearer of the surname Tibbets, though specific widely known biographical details about him are not well documented.
  • C. Red Mitchell
    Red Mitchell was an influential American jazz double bassist, composer, and bandleader known for his lyrical playing style and innovative tuning approach.
  • D. Red Mitchell
    Red Mitchell is an American actor known for his role in the rodeo-themed drama film "8 Seconds."
  • E. Lee Patrick
    Lee Patrick was an American character actress best known for her prolific film and television work from the 1930s through the 1960s, including roles in classics like "The Maltese Falcon."
  • 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: Tim Tibbetts
Triple: [Tibbetts, hasNotableBearer, Tim Tibbetts]
Generated description
Tim Tibbetts is an individual notable enough to be specifically cited as a bearer of the surname Tibbetts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tim Tibbetts
Target entity description: Tim Tibbetts is an individual notable enough to be specifically cited as a bearer of the surname Tibbetts.
  • A. Victor O'Hare
    Victor O'Hare was the son of prominent American socialist and antiwar activist Kate Richards O'Hare.
  • B. George Tibbets
    George Tibbets is a person notable enough to be recognized as a bearer of the surname Tibbets, though specific widely known biographical details about him are not well documented.
  • C. Red Mitchell
    Red Mitchell was an influential American jazz double bassist, composer, and bandleader known for his lyrical playing style and innovative tuning approach.
  • D. Red Mitchell
    Red Mitchell is an American actor known for his role in the rodeo-themed drama film "8 Seconds."
  • E. Lee Patrick
    Lee Patrick was an American character actress best known for her prolific film and television work from the 1930s through the 1960s, including roles in classics like "The Maltese Falcon."
  • 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_69e43a121aa081908a62fa59d3d28765 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c5474788190936840effee2a8f5 completed May 11, 2026, 7:59 a.m.
NEDg Description generation batch_6a018d1601208190acd755618c6c939e completed May 11, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_6a018e0400888190a4eb8fa418517ac5 completed May 11, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:43 a.m.