Triple

T9092026
Position Surface form Disambiguated ID Type / Status
Subject John Lyly E217911 entity
Predicate wrote P2831 FINISHED
Object Gallathea
Gallathea is an Elizabethan stage comedy by John Lyly that blends mythological themes, gender disguise, and romantic intrigue.
 E777729 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: Gallathea | Statement: [John Lyly, wrote, Gallathea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gallathea
Context triple: [John Lyly, wrote, Gallathea]
  • A. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • B. Theodosia
    Theodosia is a feminine given name of Greek origin, historically associated with early Christian martyrs and later borne by notable women in American history.
  • C. Theodosia
    Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
  • D. Pangaeus
    Pangaeus is the ancient name of a historically significant mountain in northern Greece famed for its rich gold and silver mines and its role in classical Greek history and mythology.
  • E. Cypria
    Cypria is a lost ancient Greek epic poem, traditionally part of the Epic Cycle, that narrated events leading up to the Trojan War.
  • 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: Gallathea
Triple: [John Lyly, wrote, Gallathea]
Generated description
Gallathea is an Elizabethan stage comedy by John Lyly that blends mythological themes, gender disguise, and romantic intrigue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gallathea
Target entity description: Gallathea is an Elizabethan stage comedy by John Lyly that blends mythological themes, gender disguise, and romantic intrigue.
  • A. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • B. Theodosia
    Theodosia is a feminine given name of Greek origin, historically associated with early Christian martyrs and later borne by notable women in American history.
  • C. Theodosia
    Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
  • D. Pangaeus
    Pangaeus is the ancient name of a historically significant mountain in northern Greece famed for its rich gold and silver mines and its role in classical Greek history and mythology.
  • E. Cypria
    Cypria is a lost ancient Greek epic poem, traditionally part of the Epic Cycle, that narrated events leading up to the Trojan War.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b18b24819097b525ddad3a85c0 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017f85c908190a4e90c22a75348b5 completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d019652fe8819096cccb8cff431261 completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a290de881909482b7eb70bef0e3 completed April 3, 2026, 7:51 p.m.
Created at: March 30, 2026, 7:14 p.m.