Triple
T18059904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmstaden Sergel |
E432142
|
entity |
| Predicate | formerlyKnownAs |
P65
|
FINISHED |
| Object | SF Sergel |
—
|
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: SF Sergel | Statement: [Filmstaden Sergel, formerlyKnownAs, SF Sergel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SF Sergel Context triple: [Filmstaden Sergel, formerlyKnownAs, SF Sergel]
-
A.
SF Sergel
chosen
SF Sergel was a major central Stockholm cinema complex, later rebranded as Filmstaden Sergel, known for showing mainstream and blockbuster films.
-
B.
Sergel
Sergel is a Swedish surname most notably associated with the 18th-century sculptor Johan Tobias Sergel.
-
C.
Sven
Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
-
D.
Sven
Sven is a charismatic puffin in the animated film "Happy Feet Two," admired by other characters for his apparent ability to fly and his inspirational persona.
-
E.
Senger
Senger is a variant form of the surname Singer, commonly found in German-speaking regions.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c10583648190a161c58abf4853d5 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:26 a.m.