Triple

T9777432
Position Surface form Disambiguated ID Type / Status
Subject Maia E237282 entity
Predicate notableMember P10 FINISHED
Object Tilion
Tilion is a Maia from J.R.R. Tolkien’s legendarium who became the steersman of the Moon, guiding its course across the sky.
 E823159 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: Tilion | Statement: [Maia, notableMember, Tilion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tilion
Context triple: [Maia, notableMember, Tilion]
  • A. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • B. Tirico
    Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
  • C. Telti
    Telti is a small town and comune in the Gallura region of northeastern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • D. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • 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: Tilion
Triple: [Maia, notableMember, Tilion]
Generated description
Tilion is a Maia from J.R.R. Tolkien’s legendarium who became the steersman of the Moon, guiding its course across the sky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tilion
Target entity description: Tilion is a Maia from J.R.R. Tolkien’s legendarium who became the steersman of the Moon, guiding its course across the sky.
  • A. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • B. Tirico
    Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
  • C. Telti
    Telti is a small town and comune in the Gallura region of northeastern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • D. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda133ef548190aaecdf49de9c5aa8 completed April 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4950f48190be84bb57f7f453ef completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cce3d9d481909eaf7278dfe20955 completed April 5, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69d1cd5d1670819085c58ff8889318af completed April 5, 2026, 2:47 a.m.
Created at: March 30, 2026, 8:26 p.m.