Triple

T16792854
Position Surface form Disambiguated ID Type / Status
Subject Milner Stadium E408154 entity
Predicate namedAfter P63 FINISHED
Object Milner (namesake unspecified) E172222 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: Milner (namesake unspecified) | Statement: [Milner Stadium, namedAfter, Milner (namesake unspecified)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milner (namesake unspecified)
Context triple: [Milner Stadium, namedAfter, Milner (namesake unspecified)]
  • A. Milner chosen
    Milner is an English surname borne by various notable figures in politics, academia, and the arts.
  • B. Miln
    Miln is a surname and variant spelling of Milne, borne by various individuals and families.
  • C. Milne
    Milne is a Scottish-origin surname most famously associated with A. A. Milne, the English author who created Winnie-the-Pooh.
  • D. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • E. Millner
    Millner is an English occupational surname historically associated with people who made or sold hats or millinery goods.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a7817c8190a53d0cfb5ef66a71 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.