Triple

T7172990
Position Surface form Disambiguated ID Type / Status
Subject Angelo Poliziano E167247 entity
Predicate notableWork P4 FINISHED
Object Miscellanea
Miscellanea is a collection of humanist philological essays by Angelo Poliziano that critically examine and correct classical Latin and Greek texts.
 E646713 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: Miscellanea | Statement: [Angelo Poliziano, notableWork, Miscellanea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miscellanea
Context triple: [Angelo Poliziano, notableWork, Miscellanea]
  • A. Oddities
    Oddities is an album by Canadian folk musician Anna McGarrigle, showcasing her distinctive songwriting and vocal style.
  • B. More Stuff
    "More Stuff" is a comedy track from George Carlin’s 1986 stand-up album *Playin’ with Your Head*, showcasing his observational humor about materialism and consumer culture.
  • C. Raccolta
    Raccolta is a historical Catholic prayer book that compiled official prayers and devotions to which indulgences were attached.
  • D. General
    A General is a high-ranking military officer, typically commanding large units or formations and serving as one of the senior leaders within an armed force.
  • E. collections
    collections is a Python standard library module that provides specialized container datatypes such as namedtuple, deque, Counter, and OrderedDict to supplement the built-in container types.
  • 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: Miscellanea
Triple: [Angelo Poliziano, notableWork, Miscellanea]
Generated description
Miscellanea is a collection of humanist philological essays by Angelo Poliziano that critically examine and correct classical Latin and Greek texts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miscellanea
Target entity description: Miscellanea is a collection of humanist philological essays by Angelo Poliziano that critically examine and correct classical Latin and Greek texts.
  • A. Oddities
    Oddities is an album by Canadian folk musician Anna McGarrigle, showcasing her distinctive songwriting and vocal style.
  • B. More Stuff
    "More Stuff" is a comedy track from George Carlin’s 1986 stand-up album *Playin’ with Your Head*, showcasing his observational humor about materialism and consumer culture.
  • C. Raccolta
    Raccolta is a historical Catholic prayer book that compiled official prayers and devotions to which indulgences were attached.
  • D. General
    A General is a high-ranking military officer, typically commanding large units or formations and serving as one of the senior leaders within an armed force.
  • E. collections
    collections is a Python standard library module that provides specialized container datatypes such as namedtuple, deque, Counter, and OrderedDict to supplement the built-in container types.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88c5b708190ab81622ea82c2d23 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b921b1e48190b25c1337f6187174 completed March 28, 2026, 11:18 a.m.
NEDg Description generation batch_69c7b9b0867081909be41ffb8b088e16 completed March 28, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba1a770c819085a25eb796312822 completed March 28, 2026, 11:23 a.m.
Created at: March 27, 2026, 2:48 p.m.