Triple

T20335176
Position Surface form Disambiguated ID Type / Status
Subject The Professionals E492588 entity
Predicate notableSong P4 FINISHED
Object 1-2-3
1-2-3 is a punk rock song by The Professionals, known for its driving energy and classic early-1980s UK punk sound.
E1425449 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: 1-2-3 | Statement: [The Professionals, notableSong, 1-2-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 1-2-3
Context triple: [The Professionals, notableSong, 1-2-3]
  • A. One, Two, Three
    One, Two, Three is a 1961 fast-paced Cold War comedy film set in West Berlin, known for its rapid-fire dialogue and satirical take on East–West tensions.
  • B. One Two
    One Two is a small-time London criminal and the central protagonist in Guy Ritchie's crime film "RocknRolla."
  • C. Three in One
    "Three in One" is a reggae album by the Jamaican band Morgan Heritage, showcasing their signature blend of roots reggae, harmonies, and socially conscious themes.
  • D. On the Count of Three
    On the Count of Three is a dark comedy-drama film centered on two friends who make a suicide pact and decide to live out their final day settling unfinished business.
  • E. Three
    "Three" is an album by British electronic musician Four Tet, showcasing his signature blend of intricate rhythms, atmospheric textures, and experimental production.
  • 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: 1-2-3
Triple: [The Professionals, notableSong, 1-2-3]
Generated description
1-2-3 is a punk rock song by The Professionals, known for its driving energy and classic early-1980s UK punk sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 1-2-3
Target entity description: 1-2-3 is a punk rock song by The Professionals, known for its driving energy and classic early-1980s UK punk sound.
  • A. One, Two, Three
    One, Two, Three is a 1961 fast-paced Cold War comedy film set in West Berlin, known for its rapid-fire dialogue and satirical take on East–West tensions.
  • B. One Two
    One Two is a small-time London criminal and the central protagonist in Guy Ritchie's crime film "RocknRolla."
  • C. Three in One
    "Three in One" is a reggae album by the Jamaican band Morgan Heritage, showcasing their signature blend of roots reggae, harmonies, and socially conscious themes.
  • D. On the Count of Three
    On the Count of Three is a dark comedy-drama film centered on two friends who make a suicide pact and decide to live out their final day settling unfinished business.
  • E. Three
    "Three" is an album by British electronic musician Four Tet, showcasing his signature blend of intricate rhythms, atmospheric textures, and experimental production.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677ea8a088190b2b37accd6b24277 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08695627048190bd58a00534bacce4 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869e378fc8190a82d1e01006cf19a completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a6812a08190b4594fa9b6054355 completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:23 a.m.