Triple
T14551320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Bitter |
E341424
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bitter |
E341424
|
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: Bitter | Statement: [Karl Bitter, familyName, Bitter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bitter Context triple: [Karl Bitter, familyName, Bitter]
-
A.
Bitter
chosen
Bitter is a surname of German origin borne by various notable individuals, including sculptor Karl Bitter.
-
B.
Bittersweet
Bittersweet is a studio album by Australian country singer-songwriter Kasey Chambers, noted for its emotionally rich songwriting and roots-influenced sound.
-
C.
Bittersweet
"Bittersweet" is a song featured on James Taylor's 2002 studio album "October Road."
-
D.
Bittersweet
Bittersweet was a small New York community that was permanently flooded and abandoned during the creation of the Neversink Reservoir.
-
E.
Bittersweet
"Bittersweet" is a graphic art book by illustrator Noma Bar, showcasing his distinctive use of negative space and bold, minimalist imagery.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab5d50881908f53f8b7539c6fde |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.