Triple

T14936113
Position Surface form Disambiguated ID Type / Status
Subject William Jeffrey Hostetler E372395 entity
Predicate middleName P143 FINISHED
Object Jeffrey E61391 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: Jeffrey | Statement: [William Jeffrey Hostetler, middleName, Jeffrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey
Context triple: [William Jeffrey Hostetler, middleName, Jeffrey]
  • A. Jeffrey chosen
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • B. Jeffrey
    "Jeffrey" is a comedic stage play by Paul Rudnick that follows a gay man in New York City navigating love and relationships during the height of the AIDS crisis.
  • C. Jeffery
    Jeffery is a 2016 mixtape by American rapper Young Thug, known for its experimental sound and striking cover art featuring the artist in an elaborate dress.
  • D. Jeffery
    Jeffery Amherst, 1st Baron Amherst, was an 18th-century British Army officer best known for his role as commander-in-chief during the French and Indian War and for his controversial policies toward Indigenous peoples in North America.
  • E. Jared
    Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded647ae388190a0e97c03f2a4d832 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8c8d188190b027f14256b0ce01 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.