Triple
T16286282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karel Gut |
E395395
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gut |
E395395
|
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: Gut | Statement: [Karel Gut, familyName, Gut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gut Context triple: [Karel Gut, familyName, Gut]
-
A.
Gut
chosen
Gut is a surname of Germanic origin borne by various individuals, including the Czech ice hockey player and coach Karel Gut.
-
B.
GUT
GUT is a leading technical university in Gdańsk, Poland, known for its engineering, technology, and research programs.
-
C.
Gut Feelings
Gut Feelings is a popular science book by psychologist Gerd Gigerenzer that explores how intuitive, heuristic-based decision-making can be surprisingly accurate and adaptive.
-
D.
Will’s Gut
Will’s Gut is a narrow tidal channel in coastal Maine that separates Bailey Island from Orr’s Island and is spanned by the historic Cribstone Bridge.
-
E.
Los Gusanos
Los Gusanos was a short-lived rock band formed by Ramones bassist C.J. Ramone that played a harder, more metal-influenced style than his main group.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24914bda08190a5d6315414ee3f76 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017caaa448190a5034ddbd90d2fd5 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.