Triple

T10402431
Position Surface form Disambiguated ID Type / Status
Subject Nerlens Noel E245179 entity
Predicate fullName P16 FINISHED
Object Nerlens Noel E245179 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: Nerlens Noel | Statement: [Nerlens Noel, fullName, Nerlens Noel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nerlens Noel
Context triple: [Nerlens Noel, fullName, Nerlens Noel]
  • A. Nerlens Noel chosen
    Nerlens Noel is an American professional basketball center known for his elite shot-blocking and defensive versatility in the NBA.
  • B. Jerian Grant
    Jerian Grant is an American professional basketball player known for his collegiate career at Notre Dame and subsequent play in the NBA and overseas.
  • C. Jahlil Okafor
    Jahlil Okafor is an American professional basketball center and former Duke standout who was selected third overall in the 2015 NBA Draft by the Philadelphia 76ers.
  • D. Othyus Jeffers
    Othyus Jeffers is an American professional basketball player best known for his standout performances in the NBA Development League and brief stints in the NBA.
  • E. Kris Dunn
    Kris Dunn is an American professional basketball player and standout point guard who gained national recognition for his play at Providence College before advancing to the NBA.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e42da08190a5383df3df6d3c18 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbd13c888190b3a79a9aacb5291e completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:08 p.m.