Triple
T23544581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Davis |
E577855
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Bill |
—
|
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: Bill | Statement: [Bill Davis, hasGivenName, Bill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Context triple: [Bill Davis, hasGivenName, Bill]
-
A.
Bill
Bill is the generic name for the living, sentient bullet-like enemies that appear throughout the Mario video game series.
-
B.
Bill
Bill is a fictional character from the animated series "Vinnie & Bobby."
-
C.
Bill
Bill is a fictional character from the British sitcom "Ideal Home," contributing to the show's comedic and domestic storylines.
-
D.
Bill
chosen
Bill is a common masculine given name, typically used as a diminutive or nickname for William.
-
E.
Bill
Bill is a film featuring Mickey Rooney in a critically acclaimed dramatic role portraying a man with an intellectual disability.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1ef55c8190a93c33e704ec3b5a |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:11 p.m.