Triple

T5088210
Position Surface form Disambiguated ID Type / Status
Subject Fletcher Marron E114688 entity
Predicate hasMother P1909 FINISHED
Object Rachel Marron E75923 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 Marron | Statement: [Fletcher Marron, hasMother, Rachel Marron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Marron
Context triple: [Fletcher Marron, hasMother, Rachel Marron]
  • A. Rachel Marron chosen
    Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
  • B. Mary Morello
    Mary Morello is an American activist and former schoolteacher best known as the mother of Rage Against the Machine guitarist Tom Morello.
  • C. Marcia Manon
    Marcia Manon was a silent film actress active in the 1910s and 1920s, known for her supporting roles in American dramas and melodramas.
  • D. Emily Dreyfuss
    Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
  • E. Nora Mellon
    Nora Mellon was a member of the prominent Mellon family after whom the industrial town of Donora, Pennsylvania, was named.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75219a94819094fc54c1df448470 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfb70320ac819088ba3b1da868d9a4 completed March 22, 2026, 9:31 a.m.
Created at: March 20, 2026, 1:40 p.m.