Triple

T16295892
Position Surface form Disambiguated ID Type / Status
Subject Taylor Dearden E395645 entity
Predicate parent P120 FINISHED
Object Robin Dearden E395644 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: Robin Dearden | Statement: [Taylor Dearden, parent, Robin Dearden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Dearden
Context triple: [Taylor Dearden, parent, Robin Dearden]
  • A. Robin Dearden chosen
    Robin Dearden is an American actress known for her television work in the 1980s and for being married to actor Bryan Cranston.
  • B. Ann Robinson
    Ann Robinson is an American actress best known for her leading role in the classic 1953 science fiction film "The War of the Worlds."
  • C. Mary Tuffley
    Mary Tuffley is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • D. Mary Tuffley
    Mary Tuffley was the wife of English writer Daniel Defoe, known primarily through her marriage to the famed author of "Robinson Crusoe."
  • E. Linda Radlett
    Linda Radlett is the spirited, romantic heroine of Nancy Mitford’s novel "The Pursuit of Love," a young English aristocrat whose search for love leads her through a series of passionate but ill-fated relationships.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2d08108190bab1b3325923af1d completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9b42248190a3c8c2647a42aeb9 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.