Triple

T4055490
Position Surface form Disambiguated ID Type / Status
Subject Istituto Nazionale Luce E84684 entity
Predicate shortName P43 FINISHED
Object Luce
Luce is the abbreviated name of Italy’s historic Istituto Nazionale Luce, a state film and newsreel institute known for producing and distributing documentary and propaganda films.
 E411408 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: Luce | Statement: [Istituto Nazionale Luce, shortName, Luce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luce
Context triple: [Istituto Nazionale Luce, shortName, Luce]
  • A. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • B. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • C. Luma
    Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
  • D. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • E. Lucéram
    Lucéram is a picturesque medieval village in southeastern France known for its hilltop setting, narrow stone streets, and traditional Provençal character.
  • 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: Luce
Triple: [Istituto Nazionale Luce, shortName, Luce]
Generated description
Luce is the abbreviated name of Italy’s historic Istituto Nazionale Luce, a state film and newsreel institute known for producing and distributing documentary and propaganda films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luce
Target entity description: Luce is the abbreviated name of Italy’s historic Istituto Nazionale Luce, a state film and newsreel institute known for producing and distributing documentary and propaganda films.
  • A. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • B. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • C. Luma
    Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
  • D. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • E. Lucéram
    Lucéram is a picturesque medieval village in southeastern France known for its hilltop setting, narrow stone streets, and traditional Provençal character.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbabec608190a35d39d3d03b928b completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a0f19c819084d23c3802ce8ca6 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5666c19f4819084f7e584e34f82c2 completed March 14, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_69b566cd444081908e61d131abd93d6d completed March 14, 2026, 1:46 p.m.
Created at: March 9, 2026, 3:38 p.m.