Triple

T9044277
Position Surface form Disambiguated ID Type / Status
Subject Slim Whitman E216715 entity
Predicate name P16 FINISHED
Object Slim Whitman E216715 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: Slim Whitman | Statement: [Slim Whitman, name, Slim Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slim Whitman
Context triple: [Slim Whitman, name, Slim Whitman]
  • A. Slim Whitman chosen
    Slim Whitman was an American country and western singer known for his smooth yodeling style and high tenor voice, who gained international fame with hits in the 1950s and beyond.
  • B. Brian Lane
    Brian Lane is a name shared by several notable individuals, including a British World War II fighter ace and a fictional detective in the TV series "New Tricks."
  • C. Mickey Loomis
    Mickey Loomis is an American football executive best known for leading the New Orleans Saints’ front office during their rise to Super Bowl contention and long-term success in the NFL.
  • D. Mal Evans
    Mal Evans was a longtime road manager, assistant, and friend of the Beatles who occasionally appeared in their films and recordings.
  • E. Bobby Ellis
    Bobby Ellis is a student associated with St. Clare's School.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b137cec8190bd1b812c10d9542a completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeba4c5f48190b7fc85f2137dd93e completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.