Triple

T11574682
Position Surface form Disambiguated ID Type / Status
Subject Betty Gabriel E274472 entity
Predicate notableWork P4 FINISHED
Object Clickbait
Clickbait is a 2021 Netflix thriller miniseries that explores the dark intersections of social media, online deception, and real-world crime.
E934357 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: Clickbait | Statement: [Betty Gabriel, notableWork, Clickbait]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clickbait
Context triple: [Betty Gabriel, notableWork, Clickbait]
  • A. Betteridge's law of headlines
    Betteridge's law of headlines is a humorous adage in journalism and media criticism stating that any headline ending in a question mark can generally be answered with the word “no.”
  • B. Click
    Click is a 2006 fantasy-comedy film starring Adam Sandler as a man who discovers a universal remote control that can manipulate time and his own life.
  • C. Click
    Click is a popular Python package that simplifies the creation of composable, user-friendly command-line interfaces.
  • D. BuzzMachine
    BuzzMachine is the media and journalism-focused blog written by professor and author Jeff Jarvis, known for commentary on the future of news and digital media.
  • E. Hook
    Hook is a village in Hampshire, England, known as a commuter settlement with good transport links to nearby towns and London.
  • 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: Clickbait
Triple: [Betty Gabriel, notableWork, Clickbait]
Generated description
Clickbait is a 2021 Netflix thriller miniseries that explores the dark intersections of social media, online deception, and real-world crime.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clickbait
Target entity description: Clickbait is a 2021 Netflix thriller miniseries that explores the dark intersections of social media, online deception, and real-world crime.
  • A. Betteridge's law of headlines
    Betteridge's law of headlines is a humorous adage in journalism and media criticism stating that any headline ending in a question mark can generally be answered with the word “no.”
  • B. Click
    Click is a 2006 fantasy-comedy film starring Adam Sandler as a man who discovers a universal remote control that can manipulate time and his own life.
  • C. Click
    Click is a popular Python package that simplifies the creation of composable, user-friendly command-line interfaces.
  • D. BuzzMachine
    BuzzMachine is the media and journalism-focused blog written by professor and author Jeff Jarvis, known for commentary on the future of news and digital media.
  • E. Hook
    Hook is a village in Hampshire, England, known as a commuter settlement with good transport links to nearby towns and London.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89048120c81908258f984711f7dd4 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713e49f508190b9bad316d68eab42 completed April 21, 2026, 6:06 a.m.
NEDg Description generation batch_69e720f9a8588190aa766d2e1628207a completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72315dda08190996aa84587c5fc80 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.