Triple

T9709699
Position Surface form Disambiguated ID Type / Status
Subject Stewart Stern E234990 entity
Predicate workedOn P3 FINISHED
Object Rachel, Rachel E720993 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: Rachel, Rachel | Statement: [Stewart Stern, workedOn, Rachel, Rachel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel, Rachel
Context triple: [Stewart Stern, workedOn, Rachel, Rachel]
  • A. Rachel, Rachel chosen
    "Rachel, Rachel" is a 1968 American drama film directed by Paul Newman and starring Joanne Woodward, acclaimed for its intimate portrayal of a repressed schoolteacher’s emotional awakening.
  • B. Racheal
    Racheal is a given name, typically a variant spelling of the more common name Rachel.
  • C. Avkat Rochel
    Avkat Rochel is a halakhic work by Rabbi Joseph Karo that addresses complex questions of Jewish law and ritual practice.
  • D. Rahel
    Rahel is one of the central twin protagonists in Arundhati Roy’s novel "The God of Small Things," whose fragmented memories and experiences drive much of the story’s emotional and narrative arc.
  • E. Marnie
    Marnie is a 1964 psychological thriller film directed by Alfred Hitchcock, starring Tippi Hedren and Sean Connery, about a troubled woman with a mysterious past and compulsive thieving.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da7c6188190b086f7e411378268 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8876748190b0b5efb12031f532 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.