Triple

T18968463
Position Surface form Disambiguated ID Type / Status
Subject Tallahassee E464102 entity
Predicate hasMayorCommissioner P185 FINISHED
Object John E. Dailey
John E. Dailey is an American politician who serves as the mayor of Tallahassee, Florida.
 E2282809 NE FINISHED

How this triple was built (3 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: John E. Dailey | Statement: [Tallahassee, hasMayorCommissioner, John E. Dailey]
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: John E. Dailey
Triple: [Tallahassee, hasMayorCommissioner, John E. Dailey]
Generated description
John E. Dailey is an American politician who serves as the mayor of Tallahassee, Florida.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMayorCommissioner
Context triple: [Tallahassee, hasMayorCommissioner, John E. Dailey]
  • A. hasMayor chosen
    Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
  • B. hasMayorOffice
    Indicates that a particular entity serves as the office or official position held by a mayor of another entity.
  • C. conferenceCommissioner
    Indicates that an entity serves as the commissioner (governing or overseeing authority) of a particular conference.
  • D. hasMayorTerm
    Indicates that a specified individual holds or has held the office of mayor for a particular jurisdiction during a defined term.
  • E. originalCommissionerOf
    Indicates that one entity is the person or organization that initially commissioned, ordered, or requested the creation or execution of another entity (such as a work, project, or service).
  • F. None of above.

Provenance (6 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6172888819090a8b3cb1db20496 completed April 20, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a422b9edbd88190b303e6d47a98aa99 completed June 29, 2026, 8:23 a.m.
NEDg Description generation batch_6a422c27fcd48190b18dc28056a71a96 completed June 29, 2026, 8:26 a.m.
NED2 Entity disambiguation (via description) batch_6a422c7bb5008190ad708c4f89958071 completed June 29, 2026, 8:27 a.m.
PD Predicate disambiguation batch_69e4a2f437648190b85650dae8885d48 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, noon