Triple

T18344098
Position Surface form Disambiguated ID Type / Status
Subject Alpha Centauri E439488 entity
Predicate otherName P39 FINISHED
Object Rigil Kent
Rigil Kent is a traditional name for Alpha Centauri, the closest star system to the Sun and one of the brightest stars in the night sky.
 E1321167 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: Rigil Kent | Statement: [Alpha Centauri, otherName, Rigil Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rigil Kent
Context triple: [Alpha Centauri, otherName, Rigil Kent]
  • A. Vega
    Vega is a Norwegian island renowned for its UNESCO-listed archipelago, traditional eiderdown harvesting, and rich coastal birdlife.
  • B. Vega
    Vega is a European small-lift launch vehicle developed by the European Space Agency and partners, primarily used to place light payloads into low Earth orbit.
  • C. Vega
    Vega is a common Spanish surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • D. Vega
    Vega is an open-source visualization grammar and toolkit for creating, sharing, and exploring interactive data visualizations in a declarative JSON format.
  • E. Vega
    Vega is a residential locality in Haninge Municipality, Stockholm County, Sweden, known for its commuter rail station and growing suburban housing developments.
  • 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: Rigil Kent
Triple: [Alpha Centauri, otherName, Rigil Kent]
Generated description
Rigil Kent is a traditional name for Alpha Centauri, the closest star system to the Sun and one of the brightest stars in the night sky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rigil Kent
Target entity description: Rigil Kent is a traditional name for Alpha Centauri, the closest star system to the Sun and one of the brightest stars in the night sky.
  • A. Vega
    Vega is a Norwegian island renowned for its UNESCO-listed archipelago, traditional eiderdown harvesting, and rich coastal birdlife.
  • B. Vega
    Vega is a European small-lift launch vehicle developed by the European Space Agency and partners, primarily used to place light payloads into low Earth orbit.
  • C. Vega
    Vega is a common Spanish surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • D. Vega
    Vega is an open-source visualization grammar and toolkit for creating, sharing, and exploring interactive data visualizations in a declarative JSON format.
  • E. Vega
    Vega is a residential locality in Haninge Municipality, Stockholm County, Sweden, known for its commuter rail station and growing suburban housing developments.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f2c8ec8190b045482846a68204 completed April 19, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d76e71a08190885522bf1ac38cb1 completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8e1cc888190aaee303a92cc365c completed May 13, 2026, 1:50 a.m.
NED2 Entity disambiguation (via description) batch_6a03d956b6dc8190b76547bded001f62 completed May 13, 2026, 1:52 a.m.
Created at: April 10, 2026, 10:37 a.m.