Triple

T5764445
Position Surface form Disambiguated ID Type / Status
Subject The Fast and the Furious: Tokyo Drift E127174 entity
Predicate featuresCharacter P626 FINISHED
Object Neela
Neela is a central street racer and love interest in the film "The Fast and the Furious: Tokyo Drift," known for her drifting skills in Tokyo's underground racing scene.
 E544603 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: Neela | Statement: [The Fast and the Furious: Tokyo Drift, featuresCharacter, Neela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neela
Context triple: [The Fast and the Furious: Tokyo Drift, featuresCharacter, Neela]
  • A. Neela
    Neela is a prominent commander in the monkey kingdom of Kishkindha in the Indian epic Ramayana, known for his leadership in Rama’s campaign against Ravana.
  • B. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • C. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • D. Leela
    Leela is a companion of the Fourth Doctor in the classic British science fiction television series Doctor Who.
  • E. Leela
    Leela is the one-eyed, tough yet compassionate spaceship captain from the animated television series "Futurama."
  • 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: Neela
Triple: [The Fast and the Furious: Tokyo Drift, featuresCharacter, Neela]
Generated description
Neela is a central street racer and love interest in the film "The Fast and the Furious: Tokyo Drift," known for her drifting skills in Tokyo's underground racing scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neela
Target entity description: Neela is a central street racer and love interest in the film "The Fast and the Furious: Tokyo Drift," known for her drifting skills in Tokyo's underground racing scene.
  • A. Neela
    Neela is a prominent commander in the monkey kingdom of Kishkindha in the Indian epic Ramayana, known for his leadership in Rama’s campaign against Ravana.
  • B. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • C. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • D. Leela
    Leela is a companion of the Fourth Doctor in the classic British science fiction television series Doctor Who.
  • E. Leela
    Leela is the one-eyed, tough yet compassionate spaceship captain from the animated television series "Futurama."
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0296e12d48190bd120879723bb6e8 completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e59c2d0819091101dea300e1d7e completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c089b27f9c8190ab7973e85fbf13e9 completed March 23, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_69c08a2dc2a08190a762c4373eeb1ddf completed March 23, 2026, 12:32 a.m.
Created at: March 22, 2026, 3:49 p.m.