Triple

T14104944
Position Surface form Disambiguated ID Type / Status
Subject Trip E339480 entity
Predicate producer P490 FINISHED
Object Julian-Quan Viet Le
Julian-Quan Viet Le is a music producer known for his work on the track "Trip."
E1080935 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: Julian-Quan Viet Le | Statement: [Trip, producer, Julian-Quan Viet Le]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian-Quan Viet Le
Context triple: [Trip, producer, Julian-Quan Viet Le]
  • A. Linh-Dan Pham
    Linh-Dan Pham is a Vietnamese-born French actress known for her acclaimed performances in European cinema, including her role in the award-winning film "The Beat That My Heart Skipped."
  • B. Quyen Tran
    Quyen Tran is an American cinematographer known for her visually expressive work on independent films and character-driven stories.
  • C. Hiep Thi Le
    Hiep Thi Le was a Vietnamese-American actress best known for her breakout leading role in Oliver Stone’s 1993 film "Heaven & Earth."
  • D. Bao Nguyen
    Bao Nguyen is a Vietnamese American filmmaker known for his acclaimed documentaries and contributions to Asian American and international cinema.
  • E. Quoc V. Le
    Quoc V. Le is a prominent computer scientist and AI researcher known for his influential work in deep learning and large-scale machine learning at Google.
  • 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: Julian-Quan Viet Le
Triple: [Trip, producer, Julian-Quan Viet Le]
Generated description
Julian-Quan Viet Le is a music producer known for his work on the track "Trip."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Julian-Quan Viet Le
Target entity description: Julian-Quan Viet Le is a music producer known for his work on the track "Trip."
  • A. Linh-Dan Pham
    Linh-Dan Pham is a Vietnamese-born French actress known for her acclaimed performances in European cinema, including her role in the award-winning film "The Beat That My Heart Skipped."
  • B. Quyen Tran
    Quyen Tran is an American cinematographer known for her visually expressive work on independent films and character-driven stories.
  • C. Hiep Thi Le
    Hiep Thi Le was a Vietnamese-American actress best known for her breakout leading role in Oliver Stone’s 1993 film "Heaven & Earth."
  • D. Bao Nguyen
    Bao Nguyen is a Vietnamese American filmmaker known for his acclaimed documentaries and contributions to Asian American and international cinema.
  • E. Quoc V. Le
    Quoc V. Le is a prominent computer scientist and AI researcher known for his influential work in deep learning and large-scale machine learning at Google.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbd02888190bf07fd6d8769b61c completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b48e448190b4fb8cb33e5d97e6 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd288bd5881908f6a442201c5beea completed May 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3ad7be8819094fc71c9f44fb4cb completed May 7, 2026, 6:02 p.m.
Created at: April 9, 2026, 10:22 p.m.