Triple

T14216259
Position Surface form Disambiguated ID Type / Status
Subject 13 Bannerman Road E352358 entity
Predicate resident P75 FINISHED
Object Clyde Langer E131804 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: Clyde Langer | Statement: [13 Bannerman Road, resident, Clyde Langer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clyde Langer
Context triple: [13 Bannerman Road, resident, Clyde Langer]
  • A. Clyde Langer chosen
    Clyde Langer is a main companion and teenage protagonist in the Doctor Who spin-off series "The Sarah Jane Adventures," known for his humor, bravery, and loyalty to Sarah Jane Smith.
  • B. Jim Langer
    Jim Langer was an American Pro Football Hall of Fame center best known as a key offensive lineman for the dominant Miami Dolphins teams of the early 1970s.
  • C. Clive Gregory
    Clive Gregory is an Anglican bishop who has served as the Bishop of Stafford in the Church of England.
  • D. Ben Langmaid
    Ben Langmaid is a British songwriter and producer best known as a former member and co-writer of the electronic music duo La Roux.
  • E. Roger Broggie
    Roger Broggie was a pioneering Disney Imagineer and master machinist who played a crucial role in developing many of Walt Disney’s early technical innovations and theme park attractions.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6210213481908fac6893e8a9f143 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd195bcf4c8190b0b4b704b0b6fa45 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:06 a.m.