Triple

T879253
Position Surface form Disambiguated ID Type / Status
Subject Charlie Kelly E18989 entity
Predicate hasAlias P455 FINISHED
Object Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
 E102797 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: Dayman | Statement: [Charlie Kelly, hasAlias, Dayman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dayman
Context triple: [Charlie Kelly, hasAlias, Dayman]
  • A. Handsome Dan
    Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
  • B. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • C. Daboll
    Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
  • D. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • E. Errol
    Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
  • 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: Dayman
Triple: [Charlie Kelly, hasAlias, Dayman]
Generated description
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dayman
Target entity description: Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
  • A. Handsome Dan
    Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
  • B. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • C. Daboll
    Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
  • D. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • E. Errol
    Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85630f081909f3a912d54dd328c completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7b8de773c8190a993b057dfe3693e completed March 4, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9793dd48190869b3499fe170efd completed March 4, 2026, 4:47 a.m.
Created at: March 1, 2026, 7:39 p.m.