Triple

T3241147
Position Surface form Disambiguated ID Type / Status
Subject Tarzan (1999 film) E67967 entity
Predicate screenwriter P2831 FINISHED
Object Noni White
Noni White is an American screenwriter best known for co-writing Disney films such as "Newsies" and contributing to the screenplay of the animated feature "Tarzan."
E339901 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: Noni White | Statement: [Tarzan (1999 film), screenwriter, Noni White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noni White
Context triple: [Tarzan (1999 film), screenwriter, Noni White]
  • A. Jadagrace Berry
    Jadagrace Berry is an American actress, dancer, and singer best known for her early role in the science fiction film "Terminator Salvation."
  • B. Nuʻuuli
    Nuʻuuli is a village and commercial center on the island of Tutuila in American Samoa.
  • C. Kali Ngrowo
    Kali Ngrowo is a significant river in East Java, Indonesia, known as one of the main waterways feeding the Brantas River system.
  • D. Nggela Pile
    Nggela Pile is one of the principal islands in the Florida Islands group of the Solomon Islands in the South Pacific.
  • E. Luman Reed
    Luman Reed was a prominent 19th-century New York merchant and art patron who played a key role in supporting early American painters, including members of the Hudson River School.
  • 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: Noni White
Triple: [Tarzan (1999 film), screenwriter, Noni White]
Generated description
Noni White is an American screenwriter best known for co-writing Disney films such as "Newsies" and contributing to the screenplay of the animated feature "Tarzan."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Noni White
Target entity description: Noni White is an American screenwriter best known for co-writing Disney films such as "Newsies" and contributing to the screenplay of the animated feature "Tarzan."
  • A. Jadagrace Berry
    Jadagrace Berry is an American actress, dancer, and singer best known for her early role in the science fiction film "Terminator Salvation."
  • B. Nuʻuuli
    Nuʻuuli is a village and commercial center on the island of Tutuila in American Samoa.
  • C. Kali Ngrowo
    Kali Ngrowo is a significant river in East Java, Indonesia, known as one of the main waterways feeding the Brantas River system.
  • D. Nggela Pile
    Nggela Pile is one of the principal islands in the Florida Islands group of the Solomon Islands in the South Pacific.
  • E. Luman Reed
    Luman Reed was a prominent 19th-century New York merchant and art patron who played a key role in supporting early American painters, including members of the Hudson River School.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef76d908190815bb456e366ee0a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27754492c819099bab9a2a3344561 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b27a0c1f74819087bd0aa869eefd7b completed March 12, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_69b27acca734819083bdd7713b10ff1a completed March 12, 2026, 8:35 a.m.
Created at: March 8, 2026, 3:08 p.m.