Triple

T4696136
Position Surface form Disambiguated ID Type / Status
Subject The Krays E104145 entity
Predicate stars P1956 FINISHED
Object Tom Bell
Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
 E460223 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: Tom Bell | Statement: [The Krays, stars, Tom Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Bell
Context triple: [The Krays, stars, Tom Bell]
  • A. Tom Bell
    Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
  • B. Brian Bell
    Brian Bell is a British economist and academic who serves as the chair of the UK government’s Migration Advisory Committee, advising on immigration policy.
  • C. Brian Bell
    Brian Bell is an American musician best known as the rhythm guitarist and backing vocalist for the rock band Weezer.
  • D. Mick Rogers
    Mick Rogers is an Australian former professional road cyclist known for his time-trialling strength and multiple world championship titles in the team time trial.
  • E. Gary Puckett
    Gary Puckett is an American pop singer best known as the lead vocalist of Gary Puckett & The Union Gap, a band popular in the late 1960s for hits like "Young Girl."
  • 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: Tom Bell
Triple: [The Krays, stars, Tom Bell]
Generated description
Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Bell
Target entity description: Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
  • A. Tom Bell
    Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
  • B. Brian Bell
    Brian Bell is a British economist and academic who serves as the chair of the UK government’s Migration Advisory Committee, advising on immigration policy.
  • C. Brian Bell
    Brian Bell is an American musician best known as the rhythm guitarist and backing vocalist for the rock band Weezer.
  • D. Mick Rogers
    Mick Rogers is an Australian former professional road cyclist known for his time-trialling strength and multiple world championship titles in the team time trial.
  • E. Gary Puckett
    Gary Puckett is an American pop singer best known as the lead vocalist of Gary Puckett & The Union Gap, a band popular in the late 1960s for hits like "Young Girl."
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63b2eb708190962f460063615f9a completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03c3e6f48190b2f61de26192f5c4 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be048d53d08190a72fb6d2e788e3c9 completed March 21, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69be052cc8748190ab17bf87597121f0 completed March 21, 2026, 2:40 a.m.
Created at: March 20, 2026, 1:17 p.m.