Triple

T14531343
Position Surface form Disambiguated ID Type / Status
Subject George Abbott E340921 entity
Predicate familyName P18 FINISHED
Object Abbott E636059 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: Abbott | Statement: [George Abbott, familyName, Abbott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbott
Context triple: [George Abbott, familyName, Abbott]
  • A. Abbott
    Abbott is a masculine given name of English origin, historically associated with clerical or religious roles.
  • B. Abbott chosen
    Abbott is a common English surname borne by numerous notable individuals across fields such as politics, entertainment, science, and business.
  • C. Abbott Laboratories
    Abbott Laboratories is a global healthcare company that develops and manufactures medical devices, diagnostics, branded generic medicines, and nutritional products.
  • D. Abbott Alkaloidal Company
    Abbott Alkaloidal Company was an early American pharmaceutical firm founded by physician Wallace C. Abbott that evolved into the modern global healthcare company Abbott Laboratories.
  • E. Hospira
    Hospira is a pharmaceutical and medical device company known for its injectable drugs, infusion technologies, and biosimilars, operating as a subsidiary of Pfizer.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a56872c8190a6d2421cb81aeeb1 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.