Triple

T11949861
Position Surface form Disambiguated ID Type / Status
Subject Dramatis Personae E284397 entity
Predicate hasPoem P21160 FINISHED
Object Prospice
Prospice is a poem by Robert Browning that reflects on courage, death, and the hope of reunion with a loved one.
 E956698 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: Prospice | Statement: [Dramatis Personae, hasPoem, Prospice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prospice
Context triple: [Dramatis Personae, hasPoem, Prospice]
  • A. Hesperos
    Hesperos is the ancient Greek personification of the evening star, typically associated with the planet Venus as seen at dusk.
  • B. Presagio
    Presagio is a novel by Italian writer Andrea Molesini, known for its evocative prose and exploration of complex human emotions.
  • C. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • D. Pteleon
    Pteleon was a medieval coastal stronghold in Thessaly that formed part of the Catalan-ruled territories in Greece.
  • E. Prysm
    Prysm is a widely used Ethereum consensus client implementation written in Go that helps manage validators and secure the network under proof-of-stake.
  • 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: Prospice
Triple: [Dramatis Personae, hasPoem, Prospice]
Generated description
Prospice is a poem by Robert Browning that reflects on courage, death, and the hope of reunion with a loved one.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prospice
Target entity description: Prospice is a poem by Robert Browning that reflects on courage, death, and the hope of reunion with a loved one.
  • A. Hesperos
    Hesperos is the ancient Greek personification of the evening star, typically associated with the planet Venus as seen at dusk.
  • B. Presagio
    Presagio is a novel by Italian writer Andrea Molesini, known for its evocative prose and exploration of complex human emotions.
  • C. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • D. Pteleon
    Pteleon was a medieval coastal stronghold in Thessaly that formed part of the Catalan-ruled territories in Greece.
  • E. Prysm
    Prysm is a widely used Ethereum consensus client implementation written in Go that helps manage validators and secure the network under proof-of-stake.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90346825c8190ab4482a1fc8eed56 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458f16f088190a0005ff0fd4f547f completed May 1, 2026, 7:40 a.m.
NEDg Description generation batch_69f45f86349c81909a806fd7be4008e9 completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f4647ee1748190975bce3bbf51a3bc completed May 1, 2026, 8:29 a.m.
Created at: April 8, 2026, 9:45 p.m.