Triple
T11617044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Bitzer |
E275534
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | G. W. Bitzer |
E221095
|
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: G. W. Bitzer | Statement: [Billy Bitzer, alsoKnownAs, G. W. Bitzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G. W. Bitzer Context triple: [Billy Bitzer, alsoKnownAs, G. W. Bitzer]
-
A.
G. W. Bitzer
chosen
G. W. Bitzer was a pioneering early American cinematographer best known for his influential collaboration with director D. W. Griffith on landmark silent films.
-
B.
R. G. Tifft
R. G. Tifft is an astronomer known for his work on galaxy observations, including the discovery of the Tucana Dwarf Galaxy.
-
C.
J. G. Quintel
J. G. Quintel is an American animator, writer, and voice actor best known for creating the Cartoon Network series "Regular Show."
-
D.
Alan E. Nourse
Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
-
E.
E.C. Englert
E.C. Englert was an entrepreneur and theater owner best known for establishing the historic Englert Theatre in Iowa City, Iowa.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04675e08190837a3717242fd0f9 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee872ee03481908a9d779a44ec5236 |
completed | April 26, 2026, 9:44 p.m. |
Created at: April 8, 2026, 9:38 p.m.