Triple
T6312506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Rodgers |
E141536
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Dean Fuller |
E372973
|
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: Dean Fuller | Statement: [Mary Rodgers, collaboratedWith, Dean Fuller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dean Fuller Context triple: [Mary Rodgers, collaboratedWith, Dean Fuller]
-
A.
Dean Fuller
chosen
Dean Fuller is a writer best known as one of the co-authors of the book for the musical comedy "Once Upon a Mattress."
-
B.
Hank Fallon
Hank Fallon is a character in the classic 1949 film noir "White Heat," which centers on the violent life of a psychopathic gangster.
-
C.
Joe Mabbott
Joe Mabbott is a musician and audio engineer best known for his work with the indie supergroup Gayngs and various other alternative and hip-hop artists.
-
D.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
E.
Jerry Fuller
Jerry Fuller is an American songwriter and record producer best known for crafting numerous pop and country hits in the 1960s and 1970s.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0649ea98c819086509e175812c6c0 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e469355c81908049e0c68a8c0259 |
completed | March 27, 2026, 1:59 a.m. |
Created at: March 22, 2026, 4:28 p.m.