Triple

T9983870
Position Surface form Disambiguated ID Type / Status
Subject China Beach E196517 entity
Predicate mainCharacter P1183 FINISHED
Object Colleen McMurphy E337928 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: Colleen McMurphy | Statement: [China Beach, mainCharacter, Colleen McMurphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colleen McMurphy
Context triple: [China Beach, mainCharacter, Colleen McMurphy]
  • A. Colleen McMurphy chosen
    Colleen McMurphy is a compassionate yet resilient Army nurse and central character in the television drama "China Beach," set during the Vietnam War.
  • B. Marilyn Chambers
    Marilyn Chambers was a prominent American adult film actress and model who became one of the most recognizable stars of the Golden Age of Porn in the 1970s.
  • C. Regina Hicks
    Regina Hicks is an American television and film writer-producer known for her work on family-oriented comedies and projects for networks like Disney Channel and HBO.
  • D. Rebecca Towne Nurse
    Rebecca Towne Nurse was a respected elderly Puritan woman who became one of the most famous victims of the 1692 Salem witch trials in colonial Massachusetts.
  • E. Lyda Bunker
    Lyda Bunker was the first wife of Texas oil tycoon Haroldson Lafayette Hunt and the mother of several of his children, connected to one of the era’s largest oil fortunes.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bdc0388190bbbd4bdc5ac3adec completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257f3c59481909b90896be0f3a870 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.