Triple

T5071254
Position Surface form Disambiguated ID Type / Status
Subject Eric Stoltz E114283 entity
Predicate notableWork P4 FINISHED
Object Anaconda
Anaconda is a 1997 adventure-horror film about a documentary crew in the Amazon that encounters a giant, deadly snake.
 E492792 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: Anaconda | Statement: [Eric Stoltz, notableWork, Anaconda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anaconda
Context triple: [Eric Stoltz, notableWork, Anaconda]
  • A. Anaconda
    "Anaconda" is a 2014 hip hop single by Nicki Minaj, best known for its Sir Mix-a-Lot–sampling beat, provocative lyrics, and viral music video.
  • B. Beni
    Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • E. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • 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: Anaconda
Triple: [Eric Stoltz, notableWork, Anaconda]
Generated description
Anaconda is a 1997 adventure-horror film about a documentary crew in the Amazon that encounters a giant, deadly snake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anaconda
Target entity description: Anaconda is a 1997 adventure-horror film about a documentary crew in the Amazon that encounters a giant, deadly snake.
  • A. Anaconda
    "Anaconda" is a 2014 hip hop single by Nicki Minaj, best known for its Sir Mix-a-Lot–sampling beat, provocative lyrics, and viral music video.
  • B. Beni
    Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • E. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74a0aa048190ba01281f1b160609 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10bb740819099797240c9f35eb9 completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb376b1d08190adabbf2e9e917bec completed March 21, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_69beb4843b588190947b3c2ae7709e67 completed March 21, 2026, 3:08 p.m.
Created at: March 20, 2026, 1:39 p.m.