Triple

T15255920
Position Surface form Disambiguated ID Type / Status
Subject North Thanet E364645 entity
Predicate hasMP P14470 FINISHED
Object Roger Gale
Roger Gale is a long-serving British Conservative Party politician and Member of Parliament.
 E1147278 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: Roger Gale | Statement: [North Thanet, hasMP, Roger Gale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roger Gale
Context triple: [North Thanet, hasMP, Roger Gale]
  • A. Roger Gale
    Roger Gale is a fictional protagonist whose experiences and relationships drive the central narrative of the story about his family.
  • B. David Gill
    David Gill was a prominent Scottish astronomer of the late 19th and early 20th centuries, renowned for his pioneering work in astrometry and for serving as Her Majesty's Astronomer at the Cape of Good Hope.
  • C. David Gill
    David Gill was a British television producer and film historian best known for his acclaimed documentaries on cinema history, including collaborations with Kevin Brownlow.
  • D. Jerry Gallwas
    Jerry Gallwas is an American climber best known as one of the pioneers of big-wall climbing in Yosemite during the 1950s.
  • E. Glenn Williamson
    Glenn Williamson is a film producer known for his work on independent and character-driven movies, including the dark comedy-drama "Sunshine Cleaning."
  • 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: Roger Gale
Triple: [North Thanet, hasMP, Roger Gale]
Generated description
Roger Gale is a long-serving British Conservative Party politician and Member of Parliament.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roger Gale
Target entity description: Roger Gale is a long-serving British Conservative Party politician and Member of Parliament.
  • A. Roger Gale
    Roger Gale is a fictional protagonist whose experiences and relationships drive the central narrative of the story about his family.
  • B. David Gill
    David Gill was a prominent Scottish astronomer of the late 19th and early 20th centuries, renowned for his pioneering work in astrometry and for serving as Her Majesty's Astronomer at the Cape of Good Hope.
  • C. David Gill
    David Gill was a British television producer and film historian best known for his acclaimed documentaries on cinema history, including collaborations with Kevin Brownlow.
  • D. Jerry Gallwas
    Jerry Gallwas is an American climber best known as one of the pioneers of big-wall climbing in Yosemite during the 1950s.
  • E. Glenn Williamson
    Glenn Williamson is a film producer known for his work on independent and character-driven movies, including the dark comedy-drama "Sunshine Cleaning."
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084b97908190b3bf7ea7bd75bdc0 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f7bd2081909c003deb3a692f18 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee8a977a48190940f0ed1aedea955 completed May 9, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69fee9fd19708190afe3ec4c4eacfe66 completed May 9, 2026, 8:02 a.m.
Created at: April 10, 2026, 3:13 a.m.