Triple
T18218011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dann Huff |
E436215
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dann |
—
|
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: Dann | Statement: [Dann Huff, givenName, Dann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dann Context triple: [Dann Huff, givenName, Dann]
-
A.
Dann
chosen
Dann is a masculine given name, often used as a variant of "Dan" or "Daniel."
-
B.
Dannel
Dannel is the given name of Dannel P. Malloy, an American politician who served as the 88th governor of Connecticut.
-
C.
Dennach
Dennach is a village and district of the town of Neuenbürg in the Enzkreis region of Baden-Württemberg, Germany.
-
D.
Den
Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
-
E.
Den
Den is a central fictional character from the British soap opera "EastEnders," known for his complex relationships and dramatic storylines in the early years of the show.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e4782db4819093baee57f34be490 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.