Triple

T12672448
Position Surface form Disambiguated ID Type / Status
Subject Picture Perfect Morning E302720 entity
Predicate hasPart P35 FINISHED
Object Green
Green is a song featured on the album "Picture Perfect Morning."
E995276 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: Green | Statement: [Picture Perfect Morning, hasPart, Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green
Context triple: [Picture Perfect Morning, hasPart, Green]
  • A. Green
    Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
  • B. Green
    Green is a color commonly used in transit systems to designate specific routes or lines, such as the Green Line E branch streetcar.
  • C. Greeny
    Greeny is the famous 1959 Gibson Les Paul Standard guitar closely associated with Fleetwood Mac guitarist Peter Green and later Gary Moore and Kirk Hammett.
  • D. Groen
    Groen is a Flemish green political party in Belgium known for its progressive stance on environmental and social issues.
  • E. Green, Green
    "Green, Green" is a 1963 folk song by The New Christy Minstrels that became one of their best-known hits and a staple of the American folk revival era.
  • 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: Green
Triple: [Picture Perfect Morning, hasPart, Green]
Generated description
Green is a song featured on the album "Picture Perfect Morning."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Green
Target entity description: Green is a song featured on the album "Picture Perfect Morning."
  • A. Green
    Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
  • B. Green
    Green is a color commonly used in transit systems to designate specific routes or lines, such as the Green Line E branch streetcar.
  • C. Greeny
    Greeny is the famous 1959 Gibson Les Paul Standard guitar closely associated with Fleetwood Mac guitarist Peter Green and later Gary Moore and Kirk Hammett.
  • D. Groen
    Groen is a Flemish green political party in Belgium known for its progressive stance on environmental and social issues.
  • E. Green, Green
    "Green, Green" is a 1963 folk song by The New Christy Minstrels that became one of their best-known hits and a staple of the American folk revival era.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6689019988190ae3a3a52be45c83a completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6697f2ee48190a766b99d289dd0f1 completed May 2, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69f669fbb9f88190b0f5cc5bb758d132 completed May 2, 2026, 9:17 p.m.
Created at: April 9, 2026, 5:20 p.m.