Triple

T16794225
Position Surface form Disambiguated ID Type / Status
Subject Scott E408189 entity
Predicate hasNotableBearer P458 FINISHED
Object Scott Brown E11570 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: Scott Brown | Statement: [Scott, hasNotableBearer, Scott Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Brown
Context triple: [Scott, hasNotableBearer, Scott Brown]
  • A. Scott Brown chosen
    Scott Brown is an American Republican politician and former U.S. Senator from Massachusetts who later served as U.S. Ambassador to New Zealand and Samoa.
  • B. Joseph Donnelly
    Joseph Donnelly is the ambitious Irish immigrant protagonist of the film "Far and Away," who journeys to America in pursuit of land and a new life.
  • C. Mark Raymond Harrington
    Mark Raymond Harrington was an American archaeologist and ethnologist known for his early 20th-century excavations and research on Indigenous cultures of the American West.
  • D. James McCain
    James McCain is one of the children of the late U.S. Senator and 2008 Republican presidential nominee John McCain.
  • E. Kerry
    Kerry is a given name used for people of any gender in English-speaking countries.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a8b66c8190b83d8af85d2b23a8 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.