Triple

T6175390
Position Surface form Disambiguated ID Type / Status
Subject Ursa Major family E137804 entity
Predicate hasMember P10 FINISHED
Object Lyra
Lyra is a small but prominent northern constellation best known for containing the bright star Vega and the Ring Nebula (M57).
 E540387 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: Lyra | Statement: [Ursa Major family, hasMember, Lyra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lyra
Context triple: [Ursa Major family, hasMember, Lyra]
  • A. Lyra
    Lyra is a small northern sky constellation best known for containing the bright star Vega and the Ring Nebula (M57).
  • B. Lyra Belacqua
    Lyra Belacqua is a brave, impulsive young girl from Philip Pullman’s His Dark Materials trilogy, known for her destiny-shaping role and her ability to read the alethiometer.
  • C. Letta
    Letta is an Italian surname most prominently associated with political figures such as Gianni Letta and former Prime Minister Enrico Letta.
  • D. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • E. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • 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: Lyra
Triple: [Ursa Major family, hasMember, Lyra]
Generated description
Lyra is a small but prominent northern constellation best known for containing the bright star Vega and the Ring Nebula (M57).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lyra
Target entity description: Lyra is a small but prominent northern constellation best known for containing the bright star Vega and the Ring Nebula (M57).
  • A. Lyra chosen
    Lyra is a small northern sky constellation best known for containing the bright star Vega and the Ring Nebula (M57).
  • B. Lyra Belacqua
    Lyra Belacqua is a brave, impulsive young girl from Philip Pullman’s His Dark Materials trilogy, known for her destiny-shaping role and her ability to read the alethiometer.
  • C. Letta
    Letta is an Italian surname most prominently associated with political figures such as Gianni Letta and former Prime Minister Enrico Letta.
  • D. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • E. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • F. None of above.

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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dc70ac481909fd1db0d69837eca completed March 22, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ef0f76881909d678010d0c064e7 completed March 23, 2026, 4:48 p.m.
NEDg Description generation batch_69c1be0624088190b20fdfa389ebf092 completed March 23, 2026, 10:26 p.m.
NED2 Entity disambiguation (via description) batch_69c1bec4844081908baa5abbc4cb3221 completed March 23, 2026, 10:29 p.m.
Created at: March 22, 2026, 4:18 p.m.