Triple
T17600149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daggi |
E428674
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Daggi |
—
|
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: Daggi | Statement: [Daggi, hasSpellingVariant, Daggi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daggi Context triple: [Daggi, hasSpellingVariant, Daggi]
-
A.
Daggi
chosen
Daggi is a German diminutive form of the female given name Dagmar, often used as an affectionate nickname.
-
B.
Daggoo
Daggoo is a powerful African harpooner aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
-
C.
The Dag
The Dag is one of Immortan Joe’s enslaved wives in the post-apocalyptic action film "Mad Max: Fury Road," known for her rebellious attitude and distinctive, ethereal appearance.
-
D.
Davigo
Davigo is an Italian surname most notably associated with Piercamillo Davigo, a prominent magistrate and former member of Italy’s anti-corruption "Mani Pulite" (Clean Hands) investigation.
-
E.
Dakku
Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4812d48190bf8e899fa8f7fbe4 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.