Triple

T2120904
Position Surface form Disambiguated ID Type / Status
Subject Greg Abbott E43918 entity
Predicate precededBy P97 FINISHED
Object Rick Perry E215832 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: Rick Perry | Statement: [Greg Abbott, precededBy, Rick Perry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rick Perry
Context triple: [Greg Abbott, precededBy, Rick Perry]
  • A. Rick Perry chosen
    Rick Perry is an American Republican politician who served as the 47th governor of Texas and later as the U.S. Secretary of Energy under President Donald Trump.
  • B. Greg Abbott
    Greg Abbott is an American Republican politician and attorney who has served as the 48th governor of Texas since 2015.
  • C. Scott Walker
    Scott Walker is an American Republican politician who served as the 45th governor of Wisconsin from 2011 to 2019 and gained national prominence for his contentious public-sector union reforms.
  • D. John Cornyn
    John Cornyn is a long-serving Republican U.S. Senator from Texas known for his leadership roles in the Senate and his focus on judicial, security, and intellectual property issues.
  • E. Tom Chambers
    Tom Chambers is an American professional basketball player and four-time NBA All-Star known for his high-scoring ability during the 1980s and early 1990s.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb3404348190bc843022fbd2b4d0 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58cd22c8819096dfd06d16703bf8 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.