Triple

T19372163
Position Surface form Disambiguated ID Type / Status
Subject Chris Paul E484565 entity
Predicate nickname P55 FINISHED
Object CP3 NE NERFINISHED

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: CP3 | Statement: [Chris Paul, nickname, CP3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CP3
Context triple: [Chris Paul, nickname, CP3]
  • A. CP3 chosen
    CP3 is the widely used nickname of NBA point guard Chris Paul, known as one of the greatest playmakers and floor generals in basketball history.
  • B. CPC
    CPC is the abbreviation for the Permanent Consultation Committee of the Community of Portuguese Language Countries, a key body that supports coordination and decision-making among its member states.
  • C. CPC
    CPC is a Nigerian political party formally known as the Congress for Progressive Change, founded by Muhammadu Buhari as an opposition platform.
  • D. CPC
    CPC is the abbreviation commonly used for the Communist Party of Cyprus, a former political party in Cyprus aligned with communist ideology.
  • E. CPC
    CPC is the commonly used English abbreviation for the Chinese Communist Party, the founding and ruling political party of the People's Republic of China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619b1b5fc819089f9fc43f407bbb0 completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.