Triple
T21605127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Maynard |
E533151
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fred |
—
|
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: Fred | Statement: [Fred Maynard, givenName, Fred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Context triple: [Fred Maynard, givenName, Fred]
-
A.
Fred
Fred is the son of Fred Trump Jr. and the nephew of former U.S. President Donald Trump.
-
B.
Fred
Fred is a laid-back, comic book–obsessed college student and enthusiastic member of the superhero team in Disney's animated film "Big Hero 6."
-
C.
Fred
Fred is the given name of Fredro Starr, an American rapper and actor best known as a member of the hip hop group Onyx and for his roles in film and television.
-
D.
Fred
Fred is the given name of Fred C. Koch, an American chemical engineer and industrialist who co-founded what became Koch Industries.
-
E.
Fred
Fred is the given name of American astronaut Fred Haise, best known as the lunar module pilot on the ill-fated Apollo 13 mission.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e4a8088190bf51ab2af2369762 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.