Triple
T20325506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Farmer |
E492322
|
entity |
| Predicate | uncleOf |
P8496
|
FINISHED |
| Object | Fletcher Marron |
—
|
NE NERFINISHED |
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: [Frank Farmer, uncleOf, Fletcher Marron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fletcher Marron Context triple: [Frank Farmer, uncleOf, 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.
William Bolitho
William Bolitho was a notable individual interred at Brighton General Cemetery in Melbourne, remembered locally for his prominence in the community.
-
C.
Leslie Morshead
Leslie Morshead was an Australian general best known for commanding the defending forces during the World War II Siege of Tobruk.
-
D.
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.
-
E.
Geoffrey Jellicoe
Geoffrey Jellicoe was a prominent British landscape architect and garden designer known for his influential 20th-century public and private landscape projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778f20288190b1862d6be61bfb67 |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:21 a.m.