Triple

T1424775
Position Surface form Disambiguated ID Type / Status
Subject Trinity Hall, Cambridge E30304 entity
Predicate hasAlumni P51 FINISHED
Object Andrew Marr E50189 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: Andrew Marr | Statement: [Trinity Hall, Cambridge, hasAlumni, Andrew Marr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Marr
Context triple: [Trinity Hall, Cambridge, hasAlumni, Andrew Marr]
  • A. Andrew Marr chosen
    Andrew Marr is a prominent British journalist, broadcaster, and political commentator best known for presenting BBC current affairs programmes such as "The Andrew Marr Show."
  • B. Jeremy Paxman
    Jeremy Paxman is a British broadcaster, journalist, and author best known for his incisive interviewing style on BBC’s Newsnight and as the long-time host of the quiz show University Challenge.
  • C. Jordan Hewson
    Jordan Hewson is an Irish tech entrepreneur and activist, best known as the founder of the social impact company Speakable and as the daughter of U2 frontman Bono.
  • D. Dan Snow
    Dan Snow is a British historian and television presenter known for his documentaries and books on military and world history.
  • E. Edward Luce
    Edward Luce is a British journalist and author best known as a senior columnist and commentator on U.S. politics and global affairs for the Financial Times.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4bd59148190b96f9f585e07aa0d completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad01646fd481909fcd92a1cc027fa2 completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.