Triple

T16450371
Position Surface form Disambiguated ID Type / Status
Subject The Alchemist E399534 entity
Predicate majorCharacter P12208 FINISHED
Object Dapper
Dapper is a comic, gullible clerk in Ben Jonson’s play "The Alchemist," known for being duped by con artists while seeking supernatural aid for gambling luck.
 E1213919 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: Dapper | Statement: [The Alchemist, majorCharacter, Dapper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dapper
Context triple: [The Alchemist, majorCharacter, Dapper]
  • A. Dabl
    Dabl is an American digital multicast television network focused on lifestyle programming such as home improvement, cooking, and DIY content.
  • B. Presto
    Presto is an open-source, distributed SQL query engine designed for fast, interactive analytics on large-scale data from multiple sources.
  • C. Presto
    Presto is a Pixar animated short film featuring a comically disastrous magic show between a magician and his mischievous rabbit.
  • D. Presto
    Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
  • E. Presto
    Presto is a regional, reloadable smart card and electronic fare payment system used across public transit agencies in the Greater Toronto and Hamilton Area and parts of Ontario, Canada.
  • 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: Dapper
Triple: [The Alchemist, majorCharacter, Dapper]
Generated description
Dapper is a comic, gullible clerk in Ben Jonson’s play "The Alchemist," known for being duped by con artists while seeking supernatural aid for gambling luck.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dapper
Target entity description: Dapper is a comic, gullible clerk in Ben Jonson’s play "The Alchemist," known for being duped by con artists while seeking supernatural aid for gambling luck.
  • A. Dabl
    Dabl is an American digital multicast television network focused on lifestyle programming such as home improvement, cooking, and DIY content.
  • B. Presto
    Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
  • C. Presto
    Presto is an open-source, distributed SQL query engine designed for fast, interactive analytics on large-scale data from multiple sources.
  • D. Presto
    Presto is a regional, reloadable smart card and electronic fare payment system used across public transit agencies in the Greater Toronto and Hamilton Area and parts of Ontario, Canada.
  • E. Presto
    Presto is a Pixar animated short film featuring a comically disastrous magic show between a magician and his mischievous rabbit.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdfb0ec8190b75c4e6f4aceb200 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045979c588190b6f7b249147f3174 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00472cdc2881908211045515cd21ee completed May 10, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0047b4b6688190afef52b39788ceae completed May 10, 2026, 8:54 a.m.
Created at: April 10, 2026, 5:10 a.m.