Triple

T15452557
Position Surface form Disambiguated ID Type / Status
Subject Corey Clement E371688 entity
Predicate familyName P18 FINISHED
Object Clement E20592 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: Clement | Statement: [Corey Clement, familyName, Clement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clement
Context triple: [Corey Clement, familyName, Clement]
  • A. Clement chosen
    Clement is a given name of Latin origin meaning "merciful" or "gentle," historically borne by several popes and saints.
  • B. Nicola
    Nicola is a character in George Bernard Shaw's play "Arms and the Man," serving as a practical and opportunistic servant who contrasts with the more romantic ideals of the other characters.
  • C. Nicola
    Nicola is a given name used in various European languages, often as a variant of Nicholas.
  • D. Sisto
    Sisto is the surname of American actor Jeremy Sisto, known for his roles in film and television series such as "Six Feet Under" and "Suburgatory."
  • E. Clemens Romanus
    Clemens Romanus, better known as Clement of Rome, was a first-century Christian leader traditionally regarded as one of the earliest popes and the author of an influential letter to the Corinthians.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03efaf82c81908b464e37ce9c159a completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b3c5a481908057e94fd84f3cfc completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:30 a.m.