Triple

T13687077
Position Surface form Disambiguated ID Type / Status
Subject Zaytoun E328158 entity
Predicate starring P1507 FINISHED
Object Loai Nofi
Loai Nofi is an actor best known for his role in the film "Zaytoun."
E1054441 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: Loai Nofi | Statement: [Zaytoun, starring, Loai Nofi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loai Nofi
Context triple: [Zaytoun, starring, Loai Nofi]
  • A. Noovo
    Noovo is a Canadian French-language television network offering a mix of entertainment, reality shows, and local programming.
  • B. Noisia
    Noisia is a Dutch electronic music trio renowned for their intricate, heavy drum and bass and neurofunk productions, as well as high-profile collaborations and soundtrack work.
  • C. Nox
    Nox is the Roman goddess who personifies the night, equivalent to the Greek goddess Nyx.
  • D. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • E. Nokki
    Nokki is likely a lesser-known entity, possibly a business, brand, or local initiative connected to the Lekki area of Lagos, Nigeria.
  • 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: Loai Nofi
Triple: [Zaytoun, starring, Loai Nofi]
Generated description
Loai Nofi is an actor best known for his role in the film "Zaytoun."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loai Nofi
Target entity description: Loai Nofi is an actor best known for his role in the film "Zaytoun."
  • A. Noovo
    Noovo is a Canadian French-language television network offering a mix of entertainment, reality shows, and local programming.
  • B. Noisia
    Noisia is a Dutch electronic music trio renowned for their intricate, heavy drum and bass and neurofunk productions, as well as high-profile collaborations and soundtrack work.
  • C. Nox
    Nox is the Roman goddess who personifies the night, equivalent to the Greek goddess Nyx.
  • D. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • E. Nokki
    Nokki is likely a lesser-known entity, possibly a business, brand, or local initiative connected to the Lekki area of Lagos, Nigeria.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944981ec8190be5ff39b7c2c70ab completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f795e361c48190b37060312e7df181 completed May 3, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69f796e5c60c8190a19389bc4cdbd658 completed May 3, 2026, 6:41 p.m.
Created at: April 9, 2026, 9:53 p.m.