Triple

T12670284
Position Surface form Disambiguated ID Type / Status
Subject Mick Jackson E302658 entity
Predicate notableWork P4 FINISHED
Object Threads
Threads is a 1984 British television film depicting the devastating effects of nuclear war on the city of Sheffield and its inhabitants.
E995455 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: Threads | Statement: [Mick Jackson, notableWork, Threads]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Threads
Context triple: [Mick Jackson, notableWork, Threads]
  • A. Threads
    Threads is a social media app by Meta designed for real-time text-based conversations and sharing among users, closely integrated with Instagram.
  • B. Threads
    Threads is a collaborative studio album by American singer-songwriter Sheryl Crow, featuring a wide range of guest artists across rock, country, and pop.
  • C. Thread
    Thread is a low-power, IPv6-based wireless mesh networking protocol designed primarily for secure and reliable communication among smart home and IoT devices.
  • D. System.Threading
    System.Threading is a .NET namespace that provides types and APIs for working with threads, tasks, synchronization, and concurrent programming.
  • E. System.Threading.Thread
    System.Threading.Thread is a .NET class that represents and controls a managed thread of execution within an application.
  • 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: Threads
Triple: [Mick Jackson, notableWork, Threads]
Generated description
Threads is a 1984 British television film depicting the devastating effects of nuclear war on the city of Sheffield and its inhabitants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Threads
Target entity description: Threads is a 1984 British television film depicting the devastating effects of nuclear war on the city of Sheffield and its inhabitants.
  • A. Threads
    Threads is a social media app by Meta designed for real-time text-based conversations and sharing among users, closely integrated with Instagram.
  • B. Threads
    Threads is a collaborative studio album by American singer-songwriter Sheryl Crow, featuring a wide range of guest artists across rock, country, and pop.
  • C. Thread
    Thread is a low-power, IPv6-based wireless mesh networking protocol designed primarily for secure and reliable communication among smart home and IoT devices.
  • D. System.Threading
    System.Threading is a .NET namespace that provides types and APIs for working with threads, tasks, synchronization, and concurrent programming.
  • E. System.Threading.Thread
    System.Threading.Thread is a .NET class that represents and controls a managed thread of execution within an application.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688e101481909bc3b9e13ed84632 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6697e3a688190abd025df1112feba completed May 2, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69f66a9230608190bfe99290ca1679fa completed May 2, 2026, 9:20 p.m.
Created at: April 9, 2026, 5:20 p.m.