Triple

T7233033
Position Surface form Disambiguated ID Type / Status
Subject Tippecanoe and Tyler Too E154947 entity
Predicate hasSloganPart P29269 FINISHED
Object Tyler Too
"Tyler Too" is the campaign slogan phrase referring to John Tyler, the vice-presidential running mate of William Henry Harrison in the 1840 U.S. presidential election.
 E650468 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: Tyler Too | Statement: [Tippecanoe and Tyler Too, hasSloganPart, Tyler Too]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tyler Too
Context triple: [Tippecanoe and Tyler Too, hasSloganPart, Tyler Too]
  • A. Tyler
    Tyler is a character in the 2015 horror-thriller film "The Visit," serving as one of the two grandchildren whose unsettling stay with their grandparents drives the movie’s plot.
  • B. Tyler
    Tyler is a surname most prominently associated with American actress Liv Tyler and various other notable figures in entertainment and public life.
  • C. Tyler
    Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
  • D. Tyler
    Tyler is a fictional character appearing in the American television series "Kristin."
  • E. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • 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: Tyler Too
Triple: [Tippecanoe and Tyler Too, hasSloganPart, Tyler Too]
Generated description
"Tyler Too" is the campaign slogan phrase referring to John Tyler, the vice-presidential running mate of William Henry Harrison in the 1840 U.S. presidential election.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tyler Too
Target entity description: "Tyler Too" is the campaign slogan phrase referring to John Tyler, the vice-presidential running mate of William Henry Harrison in the 1840 U.S. presidential election.
  • A. Tyler
    Tyler is a character in the 2015 horror-thriller film "The Visit," serving as one of the two grandchildren whose unsettling stay with their grandparents drives the movie’s plot.
  • B. Tyler
    Tyler is a surname most prominently associated with American actress Liv Tyler and various other notable figures in entertainment and public life.
  • C. Tyler
    Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
  • D. Tyler
    Tyler is a fictional character appearing in the American television series "Kristin."
  • E. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6f04089408190aa20ed6767590ae1 completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc2786f88190b0008891f801ca95 completed March 28, 2026, 12:40 p.m.
NEDg Description generation batch_69c7cd7cb5f081908c2ca7ce8653f25f completed March 28, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69c7cdf9e0608190a466ed638b728924 completed March 28, 2026, 12:47 p.m.
Created at: March 27, 2026, 2:55 p.m.