Triple

T17120074
Position Surface form Disambiguated ID Type / Status
Subject Iowa Republican caucuses, 2008 E415440 entity
Predicate secondPlace P29125 FINISHED
Object Mitt Romney E63362 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: Mitt Romney | Statement: [Iowa Republican caucuses, 2008, secondPlace, Mitt Romney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitt Romney
Context triple: [Iowa Republican caucuses, 2008, secondPlace, Mitt Romney]
  • A. Mitt Romney chosen
    Mitt Romney is an American politician and businessman who served as governor of Massachusetts and was the Republican Party’s nominee for president in the 2012 election.
  • B. Matt Romney
    Matt Romney is an American businessman and the son of politician Mitt Romney and author Ann Romney.
  • C. Romney
    Romney is a prominent American surname most widely associated with politician Mitt Romney and his influential political family.
  • D. Craig Romney
    Craig Romney is an American businessman and the youngest son of politician Mitt Romney and author Ann Romney.
  • E. John Romney
    John Romney is a member of the Romney family, a prominent American political and business dynasty that includes figures such as former Michigan governor George Romney and U.S. senator Mitt Romney.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8092b548190b45c1695be47edc2 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fbff4b48190970073eb3b9d5d75 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:36 a.m.