Triple

T5913554
Position Surface form Disambiguated ID Type / Status
Subject Tom Bean, Texas E131521 entity
Predicate namedAfter P63 FINISHED
Object Tom Bean
Tom Bean was an early settler and landowner in Texas after whom the city of Tom Bean, Texas, is named.
 E556124 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 Bean | Statement: [Tom Bean, Texas, namedAfter, Tom Bean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Bean
Context triple: [Tom Bean, Texas, namedAfter, Tom Bean]
  • A. Charlie Bean
    Charlie Bean is an American animator, storyboard artist, and film director known for his work on animated projects including co-directing *The Lego Ninjago Movie*.
  • B. Jim Beanz
    Jim Beanz is an American songwriter, vocal producer, and record producer known for his extensive work with Timbaland and contributions to numerous R&B and pop hits.
  • C. Biz E. Beaver
    Biz E. Beaver is the costumed beaver mascot representing Babson College at its athletic events and campus activities.
  • D. Paulie Bleeker
    Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
  • E. Michael "Beau" Geste
    Michael "Beau" Geste is the chivalrous and self-sacrificing protagonist of P.C. Wren’s adventure novel "Beau Geste," famed for his honor, loyalty, and service in the French Foreign Legion.
  • 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 Bean
Triple: [Tom Bean, Texas, namedAfter, Tom Bean]
Generated description
Tom Bean was an early settler and landowner in Texas after whom the city of Tom Bean, Texas, is named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Bean
Target entity description: Tom Bean was an early settler and landowner in Texas after whom the city of Tom Bean, Texas, is named.
  • A. Charlie Bean
    Charlie Bean is an American animator, storyboard artist, and film director known for his work on animated projects including co-directing *The Lego Ninjago Movie*.
  • B. Jim Beanz
    Jim Beanz is an American songwriter, vocal producer, and record producer known for his extensive work with Timbaland and contributions to numerous R&B and pop hits.
  • C. Biz E. Beaver
    Biz E. Beaver is the costumed beaver mascot representing Babson College at its athletic events and campus activities.
  • D. Paulie Bleeker
    Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
  • E. Michael "Beau" Geste
    Michael "Beau" Geste is the chivalrous and self-sacrificing protagonist of P.C. Wren’s adventure novel "Beau Geste," famed for his honor, loyalty, and service in the French Foreign Legion.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037b85c7481908bc9da9d38e02d2b completed March 22, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c01ddd30819088571c5b56dbae83 completed March 23, 2026, 4:22 a.m.
NEDg Description generation batch_69c0c214d8988190a599d2b65072524f completed March 23, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c0c30ef6c88190bb4afa41ae8f6a20 completed March 23, 2026, 4:35 a.m.
Created at: March 22, 2026, 3:59 p.m.