Triple
T3765039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Swede |
E82651
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | The Swede |
E82651
|
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: The Swede | Statement: [The Swede, nickname, The Swede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Swede Context triple: [The Swede, nickname, The Swede]
-
A.
The Swede
chosen
The Swede is a prominent and menacing antagonist in the television series "Hell on Wheels," known for his cold, calculating nature and complex relationship with the show's protagonists.
-
B.
Swedish Grace
Swedish Grace is an early 20th-century Swedish architectural and design style characterized by restrained classicism, elegant proportions, and refined decorative details.
-
C.
Jedermann
Jedermann is a famous morality play by Hugo von Hofmannsthal that has become an iconic centerpiece of the annual Salzburg Festival.
-
D.
Hanna
"Hanna" is a 2011 action thriller film about a teenage girl trained as an assassin, known for its stylized direction and electronic score by The Chemical Brothers.
-
E.
Hanna
Hanna was the wife of the influential 16th-century Jewish legal scholar and codifier Rabbi Joseph Karo.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfeb52081909c38103beb5dbdcd |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5221ab08190a3599afbbd5dbc6e |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.