Triple

T23026464
Position Surface form Disambiguated ID Type / Status
Subject David Javerbaum E573326 entity
Predicate basedOn P98 FINISHED
Object The Tweet of God Twitter account NE NERFINISHED

How this triple was built (3 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: The Tweet of God Twitter account | Statement: [David Javerbaum, basedOn, The Tweet of God Twitter account]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Tweet of God Twitter account
Context triple: [David Javerbaum, basedOn, The Tweet of God Twitter account]
  • A. Twittering Machine
    Twittering Machine is a 1922 painting by Swiss-German artist Paul Klee that depicts a whimsical, mechanical contraption of bird-like figures and is celebrated as a key work of early 20th-century modern art.
  • B. Thuit
    Thuit is a locality in France known historically as the place where the 18th-century French chancellor René Nicolas Charles Augustin de Maupeou died.
  • C. Tweet
    The Tweet is the nickname of the Cessna T-37, a small twin‑engine jet trainer aircraft used extensively by the U.S. Air Force and several other countries for pilot training.
  • D. Tweeter
    Tweeter is a fictional character from the Traveling Wilburys’ song “Tweeter and the Monkey Man,” depicted as a small-time criminal entangled in a noir-style tale of crime and betrayal.
  • E. Yes We (Still) Can: Politics in the Age of Obama, Twitter, and Trump
    "Yes We (Still) Can: Politics in the Age of Obama, Twitter, and Trump" is a political memoir and analysis by former Obama advisor Dan Pfeiffer that reflects on the Obama years, the rise of social media in politics, and the emergence of Donald Trump.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Tweet of God Twitter account
Target entity description: The Tweet of God Twitter account is a satirical social media persona that humorously tweets as if from the perspective of God, offering irreverent commentary on religion, politics, and human behavior.
  • A. Twittering Machine
    Twittering Machine is a 1922 painting by Swiss-German artist Paul Klee that depicts a whimsical, mechanical contraption of bird-like figures and is celebrated as a key work of early 20th-century modern art.
  • B. Thuit
    Thuit is a locality in France known historically as the place where the 18th-century French chancellor René Nicolas Charles Augustin de Maupeou died.
  • C. Tweet
    The Tweet is the nickname of the Cessna T-37, a small twin‑engine jet trainer aircraft used extensively by the U.S. Air Force and several other countries for pilot training.
  • D. Tweeter
    Tweeter is a fictional character from the Traveling Wilburys’ song “Tweeter and the Monkey Man,” depicted as a small-time criminal entangled in a noir-style tale of crime and betrayal.
  • E. Yes We (Still) Can: Politics in the Age of Obama, Twitter, and Trump
    "Yes We (Still) Can: Politics in the Age of Obama, Twitter, and Trump" is a political memoir and analysis by former Obama advisor Dan Pfeiffer that reflects on the Obama years, the rise of social media in politics, and the emergence of Donald Trump.
  • F. None of above. chosen

Provenance (2 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847d7cb48190902169813c46a278 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.