Triple

T5524925
Position Surface form Disambiguated ID Type / Status
Subject Diego Luna E144899 entity
Predicate familyName P18 FINISHED
Object Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
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: [Diego Luna, familyName, Luna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luna
Context triple: [Diego Luna, familyName, Luna]
  • A. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • B. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • C. Selene
    Selene is the tourist lunar excursion vehicle featured in Arthur C. Clarke’s science fiction novel "A Fall of Moondust."
  • D. Selene
    Selene is the Greek goddess and personification of the Moon, often depicted driving a silver chariot across the night sky.
  • E. Nyota
    Nyota is the first name of Nyota Uhura, the pioneering Star Trek communications officer known as one of the earliest prominent Black female characters in American television science fiction.
  • 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: [Diego Luna, familyName, Luna]
Generated description
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luna
Target entity description: Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
  • A. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • B. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • C. Selene
    Selene is the tourist lunar excursion vehicle featured in Arthur C. Clarke’s science fiction novel "A Fall of Moondust."
  • D. Selene
    Selene is the Greek goddess and personification of the Moon, often depicted driving a silver chariot across the night sky.
  • E. Nyota
    Nyota is the first name of Nyota Uhura, the pioneering Star Trek communications officer known as one of the earliest prominent Black female characters in American television science fiction.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f874bd081909cccfc25767ee6fa completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027fa22108190b55c07fe930ca4f1 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c040a395488190bea2fd651c3aeef7 completed March 22, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04141ea408190aba1463d56ad6b7d completed March 22, 2026, 7:21 p.m.
Created at: March 22, 2026, 3:34 p.m.