Triple

T16446888
Position Surface form Disambiguated ID Type / Status
Subject Julius Onah E399452 entity
Predicate notableWork P4 FINISHED
Object Luce
Luce is a 2019 psychological drama film exploring race, identity, and expectation, directed by Julius Onah and based on J.C. Lee’s play of the same name.
 E1213139 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: [Julius Onah, notableWork, Luce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luce
Context triple: [Julius Onah, notableWork, Luce]
  • A. 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.
  • B. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • C. Luz
    Luz was the nickname of Carl Ludwig Long, a German long jumper best known for his sportsmanship toward Jesse Owens at the 1936 Berlin Olympics.
  • D. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • E. Luz
    Luz is a major railway and metro hub in São Paulo, Brazil, serving as a key interchange point for multiple urban transit lines.
  • 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: [Julius Onah, notableWork, Luce]
Generated description
Luce is a 2019 psychological drama film exploring race, identity, and expectation, directed by Julius Onah and based on J.C. Lee’s play of the same name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luce
Target entity description: Luce is a 2019 psychological drama film exploring race, identity, and expectation, directed by Julius Onah and based on J.C. Lee’s play of the same name.
  • A. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • B. 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.
  • C. Luz
    Luz was the nickname of Carl Ludwig Long, a German long jumper best known for his sportsmanship toward Jesse Owens at the 1936 Berlin Olympics.
  • D. Luz
    Luz is a major railway and metro hub in São Paulo, Brazil, serving as a key interchange point for multiple urban transit lines.
  • E. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdcedf8819080aa82a8712c0b42 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004594a4508190be08f3acfff36ab0 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a0046833e208190a0e1e37fc24c09e0 completed May 10, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00471604f88190b7cc58a77b861585 completed May 10, 2026, 8:51 a.m.
Created at: April 10, 2026, 5:10 a.m.