Triple

T4194570
Position Surface form Disambiguated ID Type / Status
Subject New College, Oxford E89113 entity
Predicate hasAlumni P51 FINISHED
Object Howard Goodall E190417 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: Howard Goodall | Statement: [New College, Oxford, hasAlumni, Howard Goodall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Goodall
Context triple: [New College, Oxford, hasAlumni, Howard Goodall]
  • A. Howard Goodall chosen
    Howard Goodall is a British composer and broadcaster best known for his television theme music, choral works, and presentations on music history.
  • B. Ron Goodwin
    Ron Goodwin was a British composer and conductor best known for his rousing film scores for war and adventure movies in the mid-20th century.
  • C. Howard Blake
    Howard Blake is a British composer best known for his film scores and concert works, including the music for the animated classic "The Snowman."
  • D. Alan Barlow
    Alan Barlow was the husband of British botanist and editor Nora Barlow, granddaughter and biographer of Charles Darwin.
  • E. Richard Shepherd
    Richard Shepherd was an American film producer best known for his work on classic movies such as "Breakfast at Tiffany's."
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af034406348190a56c21b5c08a6828 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0b02208190af3a55d38a7a2459 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.