Triple

T13534101
Position Surface form Disambiguated ID Type / Status
Subject Dan Toler E323214 entity
Predicate familyName P18 FINISHED
Object Toler
Toler is a surname most notably associated with American guitarist Dan Toler, known for his work with the Allman Brothers Band and related Southern rock acts.
 E1047590 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: Toler | Statement: [Dan Toler, familyName, Toler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toler
Context triple: [Dan Toler, familyName, Toler]
  • A. Toller
    Toller is a supporting character in the 1966 Western film "Duel at Diablo," set against the backdrop of frontier conflict between U.S. cavalry and Apache forces.
  • B. Toleriane
    Toleriane is a skincare line by La Roche-Posay formulated for sensitive and intolerant skin, focusing on minimal ingredients and high tolerance.
  • C. Trost
    Trost is a surname most notably associated with Barry M. Trost, an influential American chemist known for his work in organic synthesis and the concept of atom economy.
  • D. Toles
    Toles is the surname of American political cartoonist Tom Toles, known for his sharp, liberal-leaning editorial cartoons.
  • E. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • 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: Toler
Triple: [Dan Toler, familyName, Toler]
Generated description
Toler is a surname most notably associated with American guitarist Dan Toler, known for his work with the Allman Brothers Band and related Southern rock acts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toler
Target entity description: Toler is a surname most notably associated with American guitarist Dan Toler, known for his work with the Allman Brothers Band and related Southern rock acts.
  • A. Toller
    Toller is a supporting character in the 1966 Western film "Duel at Diablo," set against the backdrop of frontier conflict between U.S. cavalry and Apache forces.
  • B. Toleriane
    Toleriane is a skincare line by La Roche-Posay formulated for sensitive and intolerant skin, focusing on minimal ingredients and high tolerance.
  • C. Trost
    Trost is a surname most notably associated with Barry M. Trost, an influential American chemist known for his work in organic synthesis and the concept of atom economy.
  • D. Toles
    Toles is the surname of American political cartoonist Tom Toles, known for his sharp, liberal-leaning editorial cartoons.
  • E. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbcad2881909fb7490311807f75 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d980cac8190a7f7fda56abda361 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f761d2a944819088965af57d5119a7 completed May 3, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69f7624278388190a7edf96f7c298d2d completed May 3, 2026, 2:57 p.m.
Created at: April 9, 2026, 9:44 p.m.