Triple

T15038053
Position Surface form Disambiguated ID Type / Status
Subject Shareef Abdur-Rahim E378527 entity
Predicate familyName P18 FINISHED
Object Abdur-Rahim E865674 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: Abdur-Rahim | Statement: [Shareef Abdur-Rahim, familyName, Abdur-Rahim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdur-Rahim
Context triple: [Shareef Abdur-Rahim, familyName, Abdur-Rahim]
  • A. Abdurrahim chosen
    Abdurrahim is a masculine given name of Arabic origin commonly used in the Muslim world.
  • B. Abdul Rahim
    Abdul Rahim is a male given name commonly used in Muslim communities, meaning "servant of the Most Merciful" in Arabic.
  • C. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • D. Abdul Ali
    Abdul Ali is a kind-hearted Pakistani migrant worker and key supporting character in the South Korean series "Squid Game."
  • E. Abu Khaled
    Abu Khaled is an alias of Mohammed Deif, the elusive and long-time military commander of Hamas’s armed wing.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82cf3848190b0b2b6c9e65bc70b completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae0be8bc81909e1f9ed31bfd76fb completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 2:59 a.m.