Triple

T10463314
Position Surface form Disambiguated ID Type / Status
Subject Educating Rita E246729 entity
Predicate musicBy P1952 FINISHED
Object David Hentschel E530052 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: David Hentschel | Statement: [Educating Rita, musicBy, David Hentschel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Hentschel
Context triple: [Educating Rita, musicBy, David Hentschel]
  • A. David Hentschel chosen
    David Hentschel is a British recording engineer, composer, and producer known for his work with artists like Genesis and Elton John as well as for scoring film soundtracks.
  • B. Matthew Garrett
    Matthew Garrett is a prominent free software developer and security expert known for his influential work on Linux, firmware, and secure boot technologies.
  • C. Tab Atkins Jr.
    Tab Atkins Jr. is a prominent web standards engineer and W3C CSS Working Group member known for authoring and editing numerous key CSS specifications.
  • D. Robert Griesemer
    Robert Griesemer is a Swiss software engineer best known as one of the principal designers of the Go programming language at Google.
  • E. Ian Hickson
    Ian Hickson is a prominent web standards editor and software engineer best known for his leading role in developing the HTML5 specification and his work with the WHATWG and W3C.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50885e220819089e455b646f31e65 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fd865688190b0b5708481f397f4 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.