Triple

T17354118
Position Surface form Disambiguated ID Type / Status
Subject Robert S. Kerr E421890 entity
Predicate middleName P143 FINISHED
Object Samuel NE ONNED1

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: Samuel | Statement: [Robert S. Kerr, middleName, Samuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel
Context triple: [Robert S. Kerr, middleName, Samuel]
  • A. Samuel chosen
    Samuel is a masculine given name of Hebrew origin meaning "name of God" or "God has heard," widely used across many cultures and languages.
  • B. Samuel
    Samuel is the birth name of the famed American author Mark Twain, known for classics like "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • C. Benjamin
    Benjamin is the naive, dream-filled protagonist of Mendele Mocher Sforim’s satirical Yiddish novel "The Travels of Benjamin the Third," often likened to a Jewish Don Quixote.
  • D. Benjamin
    Benjamin is the given first name of the American film producer and studio executive B. P. Schulberg.
  • E. Benjamin
    Benjamin is the first name of B. Everett Jordan, a mid-20th-century U.S. Senator from North Carolina.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2e660c81908700aed5c42e9043 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955a50dc819090c1a0ec111d9fc0 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.