Triple

T12907181
Position Surface form Disambiguated ID Type / Status
Subject Get a Grip E308756 entity
Predicate followedBy P78 FINISHED
Object Big Ones
Big Ones is a 1994 compilation album by American rock band Aerosmith, featuring many of their biggest hits from the late 1980s and early 1990s.
E1009042 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: Big Ones | Statement: [Get a Grip, followedBy, Big Ones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Ones
Context triple: [Get a Grip, followedBy, Big Ones]
  • A. Bigger
    Bigger is a segment from Beyoncé’s visual album and film "Black Is King," featuring the song "Bigger" and its accompanying cinematic visuals.
  • B. Bigger
    "Bigger" is a comedy television series created and produced by filmmaker Will Packer that follows a group of friends navigating love, careers, and ambitions in Atlanta.
  • C. The Crazy Ones
    The Crazy Ones is an American workplace sitcom starring Robin Williams and Sarah Michelle Gellar as a quirky father-daughter duo running an advertising agency.
  • D. Big Time
    "Big Time" is a 1986 funk-influenced art rock song by Peter Gabriel that satirically explores consumerism, ambition, and the excesses of 1980s culture.
  • E. One on One
    One on One is a novel by American author Tabitha King, known for its exploration of complex personal relationships and small-town life.
  • 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: Big Ones
Triple: [Get a Grip, followedBy, Big Ones]
Generated description
Big Ones is a 1994 compilation album by American rock band Aerosmith, featuring many of their biggest hits from the late 1980s and early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Big Ones
Target entity description: Big Ones is a 1994 compilation album by American rock band Aerosmith, featuring many of their biggest hits from the late 1980s and early 1990s.
  • A. Bigger
    Bigger is a segment from Beyoncé’s visual album and film "Black Is King," featuring the song "Bigger" and its accompanying cinematic visuals.
  • B. Bigger
    "Bigger" is a comedy television series created and produced by filmmaker Will Packer that follows a group of friends navigating love, careers, and ambitions in Atlanta.
  • C. The Crazy Ones
    The Crazy Ones is an American workplace sitcom starring Robin Williams and Sarah Michelle Gellar as a quirky father-daughter duo running an advertising agency.
  • D. Big Time
    "Big Time" is a 1986 funk-influenced art rock song by Peter Gabriel that satirically explores consumerism, ambition, and the excesses of 1980s culture.
  • E. One on One
    One on One is a novel by American author Tabitha King, known for its exploration of complex personal relationships and small-town life.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719d4d1c8190a2c4f362e1772a73 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5680d748190b8453793219bda8f completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a6f6b3348190b50560e747f78d62 completed May 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69f6a7c12ef8819095d2418d9999926a completed May 3, 2026, 1:41 a.m.
Created at: April 9, 2026, 5:41 p.m.