Triple

T8764673
Position Surface form Disambiguated ID Type / Status
Subject No Tomorrow E208306 entity
Predicate hasTitle P38 FINISHED
Object No Tomorrow
"No Tomorrow" is a title shared by various works in film, television, and music, most notably a romantic comedy TV series and several songs.
 E755999 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: No Tomorrow | Statement: [No Tomorrow, hasTitle, No Tomorrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: No Tomorrow
Context triple: [No Tomorrow, hasTitle, No Tomorrow]
  • A. No Tomorrow
    "No Tomorrow" is a pop-punk song by the American rock band Busted, released as a single from their third studio album "Night Driver."
  • B. No Tomorrow
    "No Tomorrow" is a song featured on the album B7 by American singer and actress Brandy.
  • C. Dead Tomorrow
    Dead Tomorrow is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a harrowing case involving organ trafficking.
  • D. The Inevitable
    The Inevitable is an English rendering of the name of Surah Al-Waqi'ah, a chapter of the Qur’an that vividly describes the certainty of the Day of Resurrection and the final sorting of humanity into different groups.
  • E. Gone
    "Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
  • 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: No Tomorrow
Triple: [No Tomorrow, hasTitle, No Tomorrow]
Generated description
"No Tomorrow" is a title shared by various works in film, television, and music, most notably a romantic comedy TV series and several songs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: No Tomorrow
Target entity description: "No Tomorrow" is a title shared by various works in film, television, and music, most notably a romantic comedy TV series and several songs.
  • A. No Tomorrow
    "No Tomorrow" is a pop-punk song by the American rock band Busted, released as a single from their third studio album "Night Driver."
  • B. No Tomorrow
    "No Tomorrow" is a song featured on the album B7 by American singer and actress Brandy.
  • C. Dead Tomorrow
    Dead Tomorrow is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a harrowing case involving organ trafficking.
  • D. The Inevitable
    The Inevitable is an English rendering of the name of Surah Al-Waqi'ah, a chapter of the Qur’an that vividly describes the certainty of the Day of Resurrection and the final sorting of humanity into different groups.
  • E. Gone
    "Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dfdef9881908a7f079d87e8e338 completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf436106708190aedba29e57445303 completed April 3, 2026, 4:34 a.m.
NEDg Description generation batch_69cf4670d7a881908ea2e7e811c0ef46 completed April 3, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69cf46c83c68819081fa11981d716597 completed April 3, 2026, 4:49 a.m.
Created at: March 30, 2026, 6:40 p.m.