Triple
T8218616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Bong |
E192000
|
entity |
| Predicate | marriagePartner |
P13
|
FINISHED |
| Object | Marjorie Vattendahl |
E849252
|
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: Marjorie Vattendahl | Statement: [Richard Bong, marriagePartner, Marjorie Vattendahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjorie Vattendahl Context triple: [Richard Bong, marriagePartner, Marjorie Vattendahl]
-
A.
Marjorie Vattendahl
chosen
Marjorie Vattendahl was the wife of World War II flying ace and Medal of Honor recipient Richard Bong.
-
B.
Marjorie Hearn
Marjorie Hearn was the longtime wife and partner of legendary Los Angeles Lakers broadcaster Chick Hearn.
-
C.
Marjorie Nelson
Marjorie Nelson was an American actress known for her work on stage and screen and for being married to fellow actor Howard Da Silva.
-
D.
Linda Nordley
Linda Nordley is a central female character in the 1953 adventure film "Mogambo," portrayed as a refined Englishwoman whose arrival complicates the romantic and emotional dynamics on an African safari.
-
E.
Margaret Engemann
Margaret Engemann was the wife of pioneering American mathematician and cybernetics founder Norbert Wiener.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb7770cee881908ade560d49427895 |
completed | March 31, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d61b0c9dec8190af5a38413d4861c2 |
completed | April 8, 2026, 9:08 a.m. |
Created at: March 30, 2026, 5:45 p.m.