Triple

T13896504
Position Surface form Disambiguated ID Type / Status
Subject Hannah More E334100 entity
Predicate familyName P18 FINISHED
Object More E334100 NE FINISHED

How this triple was built (2 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: [Hannah More, familyName, More]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: More
Context triple: [Hannah More, familyName, More]
  • A. More chosen
    More is a surname most notably associated with Hannah More, an influential 18th-century English religious writer, philanthropist, and social reformer.
  • B. 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.
  • C. More4
    More4 is a British digital television channel from Channel 4 that focuses on documentaries, lifestyle programming, and highbrow entertainment.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d72c6c819093bf9c43136839d4 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71eb1808190b0a3a28a8011e9c7 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.