Triple

T10454309
Position Surface form Disambiguated ID Type / Status
Subject Texas mid-decade redistricting 2003 E246510 entity
Predicate notableDefeatedIncumbent P354 FINISHED
Object Nick Lampson E274370 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: Nick Lampson | Statement: [Texas mid-decade redistricting 2003, notableDefeatedIncumbent, Nick Lampson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Lampson
Context triple: [Texas mid-decade redistricting 2003, notableDefeatedIncumbent, Nick Lampson]
  • A. Nick Lampson chosen
    Nick Lampson is an American Democratic politician who served multiple terms in the U.S. House of Representatives from Texas.
  • B. Larry Lamb
    Larry Lamb is an English actor and radio presenter best known for his roles in television series such as Gavin & Stacey and EastEnders.
  • C. Matthew Landon
    Matthew Landon is a film editor known for his work on the animated feature "Captain Underpants: The First Epic Movie."
  • D. Rex Harrington
    Rex Harrington is a celebrated Canadian ballet dancer and former principal with the National Ballet of Canada, renowned for his dramatic stage presence and virtuosic technique.
  • E. Fred Burns
    Fred Burns was an American actor known for his roles in early silent-era Westerns and adventure films.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5190da7f081908c38b5964a567e37 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933a2daf481908300a12d0f794e4c completed April 10, 2026, 5:30 p.m.
Created at: April 6, 2026, 12:17 p.m.