Triple

T1252165
Position Surface form Disambiguated ID Type / Status
Subject Wray E26900 entity
Predicate hasVariantSpelling P457 FINISHED
Object Ray E19092 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: Ray | Statement: [Wray, hasVariantSpelling, Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray
Context triple: [Wray, hasVariantSpelling, Ray]
  • A. Ray chosen
    Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
  • B. Rob
    Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
  • C. Robin
    Robin is a given name commonly used in various cultures, often as a diminutive or variant of names like Robert.
  • D. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • E. Dash
    Dash is a lightweight, POSIX-compliant Unix shell designed for fast script execution and minimal resource usage, commonly used as the default /bin/sh on some Linux systems.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf875cf48190b6781d41097ee39b completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbae1e55c8190a487084e16804e4d completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:47 p.m.