Triple

T4452055
Position Surface form Disambiguated ID Type / Status
Subject Joe Trace E97632 entity
Predicate hasLover P9994 FINISHED
Object Dorcas E106597 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: Dorcas | Statement: [Joe Trace, hasLover, Dorcas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorcas
Context triple: [Joe Trace, hasLover, Dorcas]
  • A. Dorcas chosen
    Dorcas is the young, enigmatic woman whose tragic love affair and death drive the central events and emotional tensions in Toni Morrison's novel "Jazz."
  • B. Lydia
    Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
  • C. Lydia
    Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
  • D. Lydia
    "Lydia" is a 1941 romantic drama film directed by Julien Duvivier and starring Joseph Cotten, known for its reflective narrative about lost love and missed opportunities.
  • E. Eunice
    Eunice is a feminine given name of Greek origin, commonly associated with women in English-speaking countries.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f3731c81909cc5a782b12ddd38 completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6138b6c8c8190a21ad00fb230c0f0 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:33 p.m.