Triple

T18901133
Position Surface form Disambiguated ID Type / Status
Subject The Rowan E462341 entity
Predicate followedBy P78 FINISHED
Object Damia
Damia is a science fiction novel by Anne McCaffrey, part of her Tower and the Hive series that continues the story of powerful telepaths and their role in human and alien relations.
 E1350061 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: Damia | Statement: [The Rowan, followedBy, Damia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Damia
Context triple: [The Rowan, followedBy, Damia]
  • A. Ariela
    Ariela is a feminine given name, often considered a variant of Ariel, used in various cultures and languages.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Melina
    Melina is a key resistance fighter and love interest in the science fiction film "Total Recall," known for aiding the protagonist in his struggle against a corrupt Martian regime.
  • D. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • E. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • 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: Damia
Triple: [The Rowan, followedBy, Damia]
Generated description
Damia is a science fiction novel by Anne McCaffrey, part of her Tower and the Hive series that continues the story of powerful telepaths and their role in human and alien relations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Damia
Target entity description: Damia is a science fiction novel by Anne McCaffrey, part of her Tower and the Hive series that continues the story of powerful telepaths and their role in human and alien relations.
  • A. Ariela
    Ariela is a feminine given name, often considered a variant of Ariel, used in various cultures and languages.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Melina
    Melina is a key resistance fighter and love interest in the science fiction film "Total Recall," known for aiding the protagonist in his struggle against a corrupt Martian regime.
  • D. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • E. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52954bc8190a237627c09615ac1 completed April 20, 2026, 6:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05910b5b6c8190baf163dad19bb034 completed May 14, 2026, 9:08 a.m.
NEDg Description generation batch_6a0598f6a81c8190b2c56003ca8a0219 completed May 14, 2026, 9:42 a.m.
NED2 Entity disambiguation (via description) batch_6a059972d1688190807ab1ff15eade0f completed May 14, 2026, 9:44 a.m.
Created at: April 10, 2026, 11:58 a.m.