Triple

T13288833
Position Surface form Disambiguated ID Type / Status
Subject Abram Maury Jr. E316511 entity
Predicate familyName P18 FINISHED
Object Maury E231291 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: Maury | Statement: [Abram Maury Jr., familyName, Maury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maury
Context triple: [Abram Maury Jr., familyName, Maury]
  • A. Maury chosen
    Maury is a masculine given name, typically used as a familiar or informal form of the name Maurice.
  • B. Wilkes
    Wilkes is a surname of English origin borne by various notable individuals across politics, the arts, and public life.
  • C. Maury AOC
    Maury AOC is a French appellation in the Roussillon area of southern Occitanie known for its fortified sweet wines made primarily from Grenache.
  • D. Anson
    Anson is a commercial office building located in the Downtown Core of Singapore’s central business district.
  • E. Anson
    Anson is a masculine given name of English origin, historically borne by figures such as Anson Jones, the last president of the Republic of Texas.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99076aeec8190b0cb883ab60d3f6b completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d4a6f48190a2020e11e887be2e completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.