Triple

T16890274
Position Surface form Disambiguated ID Type / Status
Subject Antonio Luna E424151 entity
Predicate familyName P18 FINISHED
Object Luna
Luna is a common Spanish surname borne by numerous notable figures across history, including military leaders, politicians, and artists.
 E530088 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: Luna | Statement: [Antonio Luna, familyName, Luna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luna
Context triple: [Antonio Luna, familyName, Luna]
  • A. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • B. Luna
    Luna is the live wolf mascot that represents the University of Nevada's Wolf Pack football program.
  • C. Luna
    Luna is a magical flying jaquin who serves as one of Princess Elena’s loyal animal companions in the animated series "Elena of Avalor."
  • D. Luna
    Luna is the gentle, talking moon character who serves as a wise, comforting friend and advisor to Bear in the children's television series "Bear in the Big Blue House."
  • E. Luna
    Luna is a municipality in the province of Apayao in the Cordillera Administrative Region of the Philippines, known for its rural landscapes and indigenous cultural heritage.
  • 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: Luna
Triple: [Antonio Luna, familyName, Luna]
Generated description
Luna is a common Spanish surname borne by numerous notable figures across history, including military leaders, politicians, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luna
Target entity description: Luna is a common Spanish surname borne by numerous notable figures across history, including military leaders, politicians, and artists.
  • A. Luna chosen
    Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
  • B. Luna
    Luna is a given name used as part of the full name Kaiya Bella Luna Stormare.
  • C. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • D. 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.
  • E. Luna
    Luna is a municipality in the province of Apayao in the Cordillera Administrative Region of the Philippines, known for its rural landscapes and indigenous cultural heritage.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc473d4819090cfea374ef5ca49 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2c1eee48190bc906e658d7729a4 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c3b4a36c8190804b8616958002fc completed May 10, 2026, 5:43 p.m.
NED2 Entity disambiguation (via description) batch_6a00c434d8f88190a71c1c4c8e475e33 completed May 10, 2026, 5:45 p.m.
Created at: April 10, 2026, 5:29 a.m.