Triple

T16035446
Position Surface form Disambiguated ID Type / Status
Subject The Tombs of Atuan E388958 entity
Predicate includesCharacter P5716 FINISHED
Object Manan
Manan is a minor but memorable character in Ursula K. Le Guin’s Earthsea novel "The Tombs of Atuan," known for his simple-minded loyalty and kindness toward the priestess Tenar.
 E1190612 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: Manan | Statement: [The Tombs of Atuan, includesCharacter, Manan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manan
Context triple: [The Tombs of Atuan, includesCharacter, Manan]
  • A. Manan
    Manan was the principal city that served as the political and administrative center of the medieval Kanem Empire in Central Africa.
  • B. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • C. Manihi
    Manihi is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its tranquil lagoon, traditional pearl farming, and unspoiled island scenery.
  • D. Moru
    Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
  • E. Lajamanu
    Lajamanu is a remote Aboriginal community in Australia’s Northern Territory, known as a major settlement of the Warlpiri people and for its strong preservation of Warlpiri language and culture.
  • 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: Manan
Triple: [The Tombs of Atuan, includesCharacter, Manan]
Generated description
Manan is a minor but memorable character in Ursula K. Le Guin’s Earthsea novel "The Tombs of Atuan," known for his simple-minded loyalty and kindness toward the priestess Tenar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manan
Target entity description: Manan is a minor but memorable character in Ursula K. Le Guin’s Earthsea novel "The Tombs of Atuan," known for his simple-minded loyalty and kindness toward the priestess Tenar.
  • A. Manan
    Manan was the principal city that served as the political and administrative center of the medieval Kanem Empire in Central Africa.
  • B. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • C. Manihi
    Manihi is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its tranquil lagoon, traditional pearl farming, and unspoiled island scenery.
  • D. Moru
    Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
  • E. Lajamanu
    Lajamanu is a remote Aboriginal community in Australia’s Northern Territory, known as a major settlement of the Warlpiri people and for its strong preservation of Warlpiri language and culture.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833b84608190887dafda5d081dc0 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd3a1248190ad055892cebde5f0 completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffdc5fd30c8190aaf66482f24285b4 completed May 10, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_69ffdd0392e08190af42a0cdc5dd4c1f completed May 10, 2026, 1:18 a.m.
Created at: April 10, 2026, 4:56 a.m.