Triple
T15268394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilsson Schmilsson |
E364956
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Son of Schmilsson |
E363913
|
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: Son of Schmilsson | Statement: [Nilsson Schmilsson, followedBy, Son of Schmilsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Son of Schmilsson Context triple: [Nilsson Schmilsson, followedBy, Son of Schmilsson]
-
A.
Son of Schmilsson
chosen
Son of Schmilsson is a 1972 studio album by American singer-songwriter Harry Nilsson that blends pop, rock, and eccentric humor as the follow-up to his acclaimed Nilsson Schmilsson.
-
B.
Schmilka
Schmilka is a small riverside village in Saxon Switzerland, Germany, known for its scenic location on the Elbe River near the Czech border and its access to popular hiking areas.
-
C.
Shankman
Shankman is a surname most notably associated with American film director and choreographer Adam Shankman.
-
D.
Bad Schlema
Bad Schlema is a spa town in Saxony, Germany, known for its radon and mineral springs and its history of uranium mining.
-
E.
Heckerling
Heckerling is the surname of American film director and screenwriter Amy Heckerling, known for works like "Fast Times at Ridgemont High" and "Clueless."
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094ca9ac8190a1f97a7b74c96cd5 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee602067c81908b1aaaca8871eeb9 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.