Triple

T7605420
Position Surface form Disambiguated ID Type / Status
Subject Tamalpais High School E180090 entity
Predicate hasNotableAlumnus P51 FINISHED
Object Jonny Moseley E50012 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: Jonny Moseley | Statement: [Tamalpais High School, hasNotableAlumnus, Jonny Moseley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonny Moseley
Context triple: [Tamalpais High School, hasNotableAlumnus, Jonny Moseley]
  • A. Jonny Moseley chosen
    Jonny Moseley is an American freestyle skier best known for winning the gold medal in moguls and popularizing innovative tricks on the international stage.
  • B. George Gatins
    George Gatins is an American screenwriter and film producer best known for writing the 2014 action film adaptation of the racing video game series Need for Speed.
  • C. Brian Gilbert
    Brian Gilbert is a British film and television director known for works such as the biographical drama "Tom & Viv."
  • D. Bobby Newmyer
    Bobby Newmyer was an American film producer known for backing gritty, character-driven movies in Hollywood, including the crime thriller "Training Day."
  • E. Lance Johnson
    Lance Johnson is a film producer known for his work on the biographical comedy-drama "The Life and Death of Peter Sellers."
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fcfcfc8190a29a0b5cd3e8927a completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86853e1fc8190b16cdf779057c804 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.