Triple

T14544634
Position Surface form Disambiguated ID Type / Status
Subject Cooper E341256 entity
Predicate abbreviation P43 FINISHED
Object Cooper unclear NED1 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: Cooper | Statement: [Cooper, abbreviation, Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cooper
Context triple: [Cooper, abbreviation, Cooper]
  • A. Cooper
    Cooper is an electoral district of the Queensland Legislative Assembly that includes suburbs such as Red Hill in Brisbane.
  • B. Cooper
    Cooper is a central character in the science fiction horror film "Event Horizon," serving as a member of the rescue crew sent to investigate the reappearance of the experimental starship.
  • C. Cooper
    Cooper was a pioneering British Formula One constructor best known for popularizing rear-engined race cars and achieving championship success in the late 1950s and early 1960s.
  • D. Cooper
    Cooper is a common English surname of occupational origin, traditionally referring to a maker or repairer of wooden casks and barrels.
  • E. Cooper
    Cooper is a popular mid-level trim designation used by Mini for its vehicles, offering enhanced performance and features over the base models.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bfc2b48190adb0897682c26a9a completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a60f2f88190b08fdf0a3095d0a7 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.