Triple

T11144297
Position Surface form Disambiguated ID Type / Status
Subject Eriador E263632 entity
Predicate contains P35 FINISHED
Object The Lune
The Lune is a river in J.R.R. Tolkien’s Middle-earth that flows through Eriador and into the Gulf of Lune.
E906672 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: The Lune | Statement: [Eriador, contains, The Lune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lune
Context triple: [Eriador, contains, The Lune]
  • A. La Luna
    La Luna is a 1979 drama film directed by Bernardo Bertolucci, known for its intense psychological themes and featuring Jill Clayburgh in a leading role.
  • B. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • C. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • D. Luna
    Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
  • E. Luna
    Luna is the live wolf mascot that represents the University of Nevada's Wolf Pack football program.
  • 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: The Lune
Triple: [Eriador, contains, The Lune]
Generated description
The Lune is a river in J.R.R. Tolkien’s Middle-earth that flows through Eriador and into the Gulf of Lune.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Lune
Target entity description: The Lune is a river in J.R.R. Tolkien’s Middle-earth that flows through Eriador and into the Gulf of Lune.
  • A. La Luna
    La Luna is a 1979 drama film directed by Bernardo Bertolucci, known for its intense psychological themes and featuring Jill Clayburgh in a leading role.
  • B. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • C. Luna
    Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
  • D. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • E. Luna
    Luna is the protagonist of the game "Lunar: The Silver Star," a classic Japanese role-playing game known for its character-driven story and fantasy adventure.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8634d5481909b114d30a542ea3f completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4421d35f48190a5905fbab39f4015 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09dd5c8190bddf3dd109a639ba completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4513731fc8190be0bae62d1e16e6f completed April 19, 2026, 3:51 a.m.
Created at: April 8, 2026, 9:28 p.m.