Triple

T12187944
Position Surface form Disambiguated ID Type / Status
Subject The Elephant Man E290384 entity
Predicate character P662 FINISHED
Object Bytes
Bytes is a cruel and exploitative showman in the film "The Elephant Man," who abuses and profits from exhibiting John Merrick as a sideshow attraction.
 E967839 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: Bytes | Statement: [The Elephant Man, character, Bytes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bytes
Context triple: [The Elephant Man, character, Bytes]
  • A. Byte
    Byte is a short-form video-sharing app that revived the spirit of Vine by offering looping clips and a creator-focused platform.
  • B. BITS
    BITS (Background Intelligent Transfer Service) is a Windows component that transfers files in the background using idle network bandwidth to minimize impact on other network activity.
  • C. Buffer
    Buffer is a surname most famously associated with American ring announcer Michael Buffer, known for his catchphrase "Let's get ready to rumble!"
  • D. BIT
    BIT is the stock exchange code commonly used to identify securities listed on Borsa Italiana, the main Italian stock exchange based in Milan.
  • E. YTE
    YTE is the IATA airport code for Cape Dorset Airport, a small regional airport serving the community of Kinngait in Nunavut, Canada.
  • 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: Bytes
Triple: [The Elephant Man, character, Bytes]
Generated description
Bytes is a cruel and exploitative showman in the film "The Elephant Man," who abuses and profits from exhibiting John Merrick as a sideshow attraction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bytes
Target entity description: Bytes is a cruel and exploitative showman in the film "The Elephant Man," who abuses and profits from exhibiting John Merrick as a sideshow attraction.
  • A. Byte
    Byte is a short-form video-sharing app that revived the spirit of Vine by offering looping clips and a creator-focused platform.
  • B. BITS
    BITS (Background Intelligent Transfer Service) is a Windows component that transfers files in the background using idle network bandwidth to minimize impact on other network activity.
  • C. Buffer
    Buffer is a surname most famously associated with American ring announcer Michael Buffer, known for his catchphrase "Let's get ready to rumble!"
  • D. BIT
    BIT is the stock exchange code commonly used to identify securities listed on Borsa Italiana, the main Italian stock exchange based in Milan.
  • E. YTE
    YTE is the IATA airport code for Cape Dorset Airport, a small regional airport serving the community of Kinngait in Nunavut, Canada.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d916012c2c819085824332ad60059e completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6b0a84c8190ae593e368c13b5a5 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7e1788190b1df4fdfd96118d0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f604c4ef7c8190bc128b1aa535744d completed May 2, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:50 p.m.