Triple

T15439017
Position Surface form Disambiguated ID Type / Status
Subject Graham Parker E369848 entity
Predicate notableWork P4 FINISHED
Object song "Local Girls"
"Local Girls" is a song by British rock musician Graham Parker, known for its sharp lyrics and energetic new wave/pub rock style.
 E1158014 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: song "Local Girls" | Statement: [Graham Parker, notableWork, song "Local Girls"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: song "Local Girls"
Context triple: [Graham Parker, notableWork, song "Local Girls"]
  • A. song "Orphan Girl"
    "Orphan Girl" is a roots-influenced Americana song best known from Gillian Welch’s debut album, blending stark storytelling with sparse, haunting instrumentation.
  • B. song "More or Less"
    "More or Less" is a track by Talib Kweli from his 2007 hip-hop album "Eardrum."
  • C. song "Steady as She Goes"
    "Steady as She Goes" is a song by Sky Sailing, the acoustic side project of Owl City’s Adam Young, featuring his signature melodic, introspective indie-pop style.
  • D. song "Tessie"
    "Tessie" is a classic American song closely associated with the Boston Red Sox and their fan culture.
  • E. song "Right There"
    "Right There" is a 2011 R&B-pop single by Nicole Scherzinger featuring 50 Cent, known for its catchy hook and sultry, dance-oriented 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: song "Local Girls"
Triple: [Graham Parker, notableWork, song "Local Girls"]
Generated description
"Local Girls" is a song by British rock musician Graham Parker, known for its sharp lyrics and energetic new wave/pub rock style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: song "Local Girls"
Target entity description: "Local Girls" is a song by British rock musician Graham Parker, known for its sharp lyrics and energetic new wave/pub rock style.
  • A. song "Orphan Girl"
    "Orphan Girl" is a roots-influenced Americana song best known from Gillian Welch’s debut album, blending stark storytelling with sparse, haunting instrumentation.
  • B. song "More or Less"
    "More or Less" is a track by Talib Kweli from his 2007 hip-hop album "Eardrum."
  • C. song "Steady as She Goes"
    "Steady as She Goes" is a song by Sky Sailing, the acoustic side project of Owl City’s Adam Young, featuring his signature melodic, introspective indie-pop style.
  • D. song "Tessie"
    "Tessie" is a classic American song closely associated with the Boston Red Sox and their fan culture.
  • E. song "Right There"
    "Right There" is a 2011 R&B-pop single by Nicole Scherzinger featuring 50 Cent, known for its catchy hook and sultry, dance-oriented 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a7d44481909a26b5cc331a3259 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff23348a448190a2a2953a18b29aaf completed May 9, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff240af68c8190af88834d97a42afb completed May 9, 2026, 12:09 p.m.
Created at: April 10, 2026, 3:21 a.m.