Triple

T3586586
Position Surface form Disambiguated ID Type / Status
Subject Rachel Marron E75923 entity
Predicate hasSon P6882 FINISHED
Object Fletcher Marron E373646 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: Fletcher Marron | Statement: [Rachel Marron, hasSon, Fletcher Marron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fletcher Marron
Context triple: [Rachel Marron, hasSon, Fletcher Marron]
  • A. Fletcher Marron chosen
    Fletcher Marron is the young son of superstar singer and actress Rachel Marron in the film "The Bodyguard."
  • B. Leslie Morshead
    Leslie Morshead was an Australian general best known for commanding the defending forces during the World War II Siege of Tobruk.
  • C. Andrew Cunningham
    Andrew Cunningham was a prominent British Royal Navy admiral of World War II, noted for his leadership in major Mediterranean campaigns and his role in Allied amphibious operations.
  • D. Geoffrey Jellicoe
    Geoffrey Jellicoe was a prominent British landscape architect and garden designer known for his influential 20th-century public and private landscape projects.
  • E. John French
    John French was a British Army officer who served as the first Commander-in-Chief of the British Expeditionary Force during the early years of World War I.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc137eb708190809cd52b6deb227c completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44efa419481908f07a9367adc4e42 completed March 13, 2026, 5:52 p.m.
Created at: March 8, 2026, 3:22 p.m.