Triple

T1370478
Position Surface form Disambiguated ID Type / Status
Subject Willie Pep E30101 entity
Predicate notableOpponent P893 FINISHED
Object Sandy Saddler E157977 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: Sandy Saddler | Statement: [Willie Pep, notableOpponent, Sandy Saddler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandy Saddler
Context triple: [Willie Pep, notableOpponent, Sandy Saddler]
  • A. Sandy Saddler chosen
    Sandy Saddler was an American professional boxer renowned for his punching power and for being one of the greatest featherweights in boxing history, best known for his rivalry with Willie Pep.
  • B. Sarah Sands
    Sarah Sands is a British journalist and editor best known for her leadership roles at major UK publications, including serving as editor of the London Evening Standard and later as editor of BBC Radio 4’s Today programme.
  • C. Cheryl Alley
    Cheryl Alley, also known as Cheryl Howard, is an American writer and actress best known as the longtime wife of filmmaker Ron Howard.
  • D. Pat Tilley
    Pat Tilley is a former American football wide receiver best known for his productive NFL career with the St. Louis Cardinals in the 1970s and early 1980s.
  • E. Ann Sadler
    Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d7b6008190bc0303b56959ba56 completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1a576c81909379c2c0e350cd12 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:57 p.m.