Triple

T13186887
Position Surface form Disambiguated ID Type / Status
Subject 2015 Pacific Games E313878 entity
Predicate openingBy P6965 FINISHED
Object Peter O’Neill E346192 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: Peter O’Neill | Statement: [2015 Pacific Games, openingBy, Peter O’Neill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter O’Neill
Context triple: [2015 Pacific Games, openingBy, Peter O’Neill]
  • A. Peter O’Neill chosen
    Peter O’Neill is a Papua New Guinean politician who served as Prime Minister of Papua New Guinea from 2011 to 2019.
  • B. Peter O'Brien
    Peter O'Brien is an Australian actor known for his work in television and film, and for being married to fellow Australian actor Miranda Otto.
  • C. Ken O'Brien
    Ken O'Brien is a former American football quarterback best known for his Pro Bowl career with the New York Jets in the 1980s.
  • D. Michael O’Rourke
    Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
  • E. Michael O’Rourke
    Michael O’Rourke is best known as the father of the late child actress Heather O’Rourke, who starred in the "Poltergeist" film series.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd9498f8848190a170a3d41c9e3a76 completed May 8, 2026, 7:45 a.m.
Created at: April 9, 2026, 9:15 p.m.