Triple

T13205685
Position Surface form Disambiguated ID Type / Status
Subject Hip Hug-Her E314352 entity
Predicate hasTrack P3284 FINISHED
Object More
"More" is a song featured on the Booker T. & the M.G.'s album "Hip Hug-Her," showcasing the band's signature soulful instrumental style.
 E1027108 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: More | Statement: [Hip Hug-Her, hasTrack, More]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: More
Context triple: [Hip Hug-Her, hasTrack, More]
  • A. More
    More is a surname most notably associated with Hannah More, an influential 18th-century English religious writer, philanthropist, and social reformer.
  • B. More4
    More4 is a British digital television channel from Channel 4 that focuses on documentaries, lifestyle programming, and highbrow entertainment.
  • C. Further
    Further was the iconic, wildly painted school bus used by Ken Kesey and the Merry Pranksters during their influential 1960s cross-country acid-fueled road trip.
  • D. More More More
    "More More More" is a disco-influenced pop cover song by British singer Rachel Stevens, known for its catchy, sultry style and chart success in the early 2000s.
  • E. Más
    Más is a hugely successful 1997 pop album by Spanish singer-songwriter Alejandro Sanz that helped cement his international fame.
  • 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: More
Triple: [Hip Hug-Her, hasTrack, More]
Generated description
"More" is a song featured on the Booker T. & the M.G.'s album "Hip Hug-Her," showcasing the band's signature soulful instrumental style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: More
Target entity description: "More" is a song featured on the Booker T. & the M.G.'s album "Hip Hug-Her," showcasing the band's signature soulful instrumental style.
  • A. More
    More is a surname most notably associated with Hannah More, an influential 18th-century English religious writer, philanthropist, and social reformer.
  • B. More4
    More4 is a British digital television channel from Channel 4 that focuses on documentaries, lifestyle programming, and highbrow entertainment.
  • C. Further
    Further was the iconic, wildly painted school bus used by Ken Kesey and the Merry Pranksters during their influential 1960s cross-country acid-fueled road trip.
  • D. More More More
    "More More More" is a disco-influenced pop cover song by British singer Rachel Stevens, known for its catchy, sultry style and chart success in the early 2000s.
  • E. Más
    Más is a hugely successful 1997 pop album by Spanish singer-songwriter Alejandro Sanz that helped cement his international fame.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9b0cf08190a1d71cc94139539d completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f60eee288190bdb3ed6110394e48 completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f76ade3c8190b46655f104a1ceaa completed May 3, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6f85149cc8190adf68387475d3286 completed May 3, 2026, 7:25 a.m.
Created at: April 9, 2026, 9:17 p.m.